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      "smorg:headline": [{"@value": "目的別の適用モデルから実行までをつなぐ一貫した開発の運用像 ", "@language": "ja"}, {"@value": " A unified development operation connecting applied Models to execution", "@language": "en"}],
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      "smorg:brief": [{"@value": "SimpleModelingでは、Object、Knowledge、Literateの三つの構成要素からDomain、Use Case、Applicationの各適用モデルを構成します。ユースケースの意図をアプリケーション・モデルへ具体化するApplication Modelingと、承認済みの実行可能モデルをCML(Cozy Modeling Language)、Cozy、AI、Textusによって設計・実装・実行へ接続するModel Realizationを分けて扱います。 ", "@language": "ja"}, {"@value": " SimpleModeling constructs Domain, Use Case, and Application Models from the Object, Knowledge, and Literate constituents. It distinguishes Application Modeling, which concretizes Use Case intent into an Application Model, from Model Realization, which connects an approved Executable Model to design, implementation, and execution through CML (Cozy Modeling Language), Cozy, AI, and Textus.", "@language": "en"}]
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      "smorg:summary": [{"@value": "本記事では、Unified Process の特徴点を軸にアジャイル開発との比較を行い、生成AIの登場によって開発プロセスの前提がどのように変化しているのかを考察します。 AI時代においては、プログラムだけでなく、モデルや仕様書、設計文書といった自然言語の成果物が一次情報として扱われるようになります。 この前提のもとで、モデル中心に設計された Unified Process は、AIと協働する開発プロセスを考えるための有力な補助線となります。", "@language": "ja"}, {"@value": "This article examines how the premises of development processes are changing with the advent of generative AI, using the characteristics of the Unified Process as a comparative axis against agile development. In the AI era, not only programs but also natural-language artifacts such as models, specifications, and design documents become primary sources of truth. Under this premise, the Unified Process—designed as a model-centric framework—serves as a valuable reference for rethinking development processes that collaborate with AI.", "@language": "en"}],
      "smorg:headline": [{"@value": "AI時代の開発プロセスを、UPとアジャイルの比較から再整理する", "@language": "ja"}, {"@value": "Reframing development processes in the AI era through a comparison of UP and agile", "@language": "en"}],
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      "smorg:brief": [{"@value": "本記事では、Unified Process の特徴点を軸にアジャイル開発との比較を行い、生成AIの登場によって開発プロセスの前提がどのように変化しているのかを考察します。 AI時代においては、プログラムだけでなく、モデルや仕様書、設計文書といった自然言語の成果物が一次情報として扱われるようになります。 この前提のもとで、モデル中心に設計された Unified Process は、AIと協働する開発プロセスを考えるための有力な補助線となります。", "@language": "ja"}, {"@value": "This article examines how the premises of development processes are changing with the advent of generative AI, using the characteristics of the Unified Process as a comparative axis against agile development. In the AI era, not only programs but also natural-language artifacts such as models, specifications, and design documents become primary sources of truth. Under this premise, the Unified Process—designed as a model-centric framework—serves as a valuable reference for rethinking development processes that collaborate with AI.", "@language": "en"}]
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      "smorg:summary": [{"@value": "近年、生成AIは自然言語のプロンプトからソースコードを生成できるまで進化してきました。これにより、従来手作業で行っていた実装の一部が自動化され、開発効率の向上が期待されています。", "@language": "ja"}, {"@value": "In recent years, generative AI has advanced to the point where it can generate source code from natural language prompts. This has enabled partial automation of what was previously manual implementation, raising expectations for improved development efficiency.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/blog/dsl-ai.html"}, {"@id": "https://www.simplemodeling.org/en/blog/dsl-ai.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
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      "dcterms:date": "2025-08-18",
      "schema:description": [{"@value": "近年、生成AIは自然言語のプロンプトからソースコードを生成できるまで進化してきました。これにより、従来手作業で行っていた実装の一部が自動化され、開発効率の向上が期待されています。", "@language": "ja"}, {"@value": "In recent years, generative AI has advanced to the point where it can generate source code from natural language prompts. This has enabled partial automation of what was previously manual implementation, raising expectations for improved development efficiency.", "@language": "en"}],
      "smorg:brief": [{"@value": "近年、生成AIは自然言語のプロンプトからソースコードを生成できるまで進化してきました。これにより、従来手作業で行っていた実装の一部が自動化され、開発効率の向上が期待されています。", "@language": "ja"}, {"@value": "In recent years, generative AI has advanced to the point where it can generate source code from natural language prompts. This has enabled partial automation of what was previously manual implementation, raising expectations for improved development efficiency.", "@language": "en"}]
    },
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      "rdfs:label": [{"@value": "用語集の運用", "@language": "ja"}, {"@value": "Glossary Management", "@language": "en"}, "用語集の運用"],
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      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}],
      "smorg:summary": [{"@value": "SimpleModeling.orgでは、BoK(Body of Knowledge)を構築・活用する一環として、用語集(Glossary)の運用を自動化しています。 ", "@language": "ja"}, {"@value": " At SimpleModeling.org, the operation of the glossary is automated as part of building and utilizing a Body of Knowledge (BoK).", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/blog/glossary-feature.html"}, {"@id": "https://www.simplemodeling.org/en/blog/glossary-feature.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}],
      "dcterms:date": "2025-09-01",
      "schema:description": [{"@value": "SimpleModeling.orgでは、BoK(Body of Knowledge)を構築・活用する一環として、用語集(Glossary)の運用を自動化しています。 ", "@language": "ja"}, {"@value": " At SimpleModeling.org, the operation of the glossary is automated as part of building and utilizing a Body of Knowledge (BoK).", "@language": "en"}],
      "smorg:brief": [{"@value": "SimpleModeling.orgでは、BoK(Body of Knowledge)を構築・活用する一環として、用語集(Glossary)の運用を自動化しています。 ", "@language": "ja"}, {"@value": " At SimpleModeling.org, the operation of the glossary is automated as part of building and utilizing a Body of Knowledge (BoK).", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/blog/harness-enginnering-in-simplemodeling",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "Harness EngineeringとSimpleModeling", "@language": "ja"}, {"@value": "Harness Engineering and SimpleModeling", "@language": "en"}, "Harness EngineeringとSimpleModeling"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "smorg:summary": [{"@value": "SimpleModelingは、BoK・文芸モデル・DSL・実行基盤を統合し、Harness Engineeringを「意味に基づいて実行を制御する基盤」へと拡張する。これにより、仕様と実装のズレを抑え、AI時代に求められる一貫した品質と再現性を実現する。", "@language": "ja"}, {"@value": "SimpleModeling integrates BoK, literate models, DSL, and execution platforms to extend Harness Engineering into a foundation that governs execution based on meaning. It reduces gaps between specification and implementation and enables consistent quality and reproducibility required in the AI era.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/blog/harness-enginnering-in-simplemodeling.html"}, {"@id": "https://www.simplemodeling.org/en/blog/harness-enginnering-in-simplemodeling.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "dcterms:date": "2026-03-30",
      "schema:description": [{"@value": "SimpleModelingは、BoK・文芸モデル・DSL・実行基盤を統合し、Harness Engineeringを「意味に基づいて実行を制御する基盤」へと拡張する。これにより、仕様と実装のズレを抑え、AI時代に求められる一貫した品質と再現性を実現する。", "@language": "ja"}, {"@value": "SimpleModeling integrates BoK, literate models, DSL, and execution platforms to extend Harness Engineering into a foundation that governs execution based on meaning. It reduces gaps between specification and implementation and enables consistent quality and reproducibility required in the AI era.", "@language": "en"}],
      "smorg:brief": [{"@value": "SimpleModelingは、BoK・文芸モデル・DSL・実行基盤を統合し、Harness Engineeringを「意味に基づいて実行を制御する基盤」へと拡張する。これにより、仕様と実装のズレを抑え、AI時代に求められる一貫した品質と再現性を実現する。", "@language": "ja"}, {"@value": "SimpleModeling integrates BoK, literate models, DSL, and execution platforms to extend Harness Engineering into a foundation that governs execution based on meaning. It reduces gaps between specification and implementation and enables consistent quality and reproducibility required in the AI era.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/blog/my-ai-driven-development",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "オレ流AI駆動開発", "@language": "ja"}, {"@value": "My Personal AI-Driven Development", "@language": "en"}, "オレ流AI駆動開発"],
      "schema:relatedLink": [{"@id": "https://www.simplemodeling.org/blog/sm-knowledge-graph"}, {"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-vscode"}, {"@id": "https://www.simplemodeling.org/blog/sm-cli-rest"}],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/blog/sm-knowledge-graph"}, {"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-vscode"}, {"@id": "https://www.simplemodeling.org/blog/sm-cli-rest"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/blog/sm-knowledge-graph"}, {"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-vscode"}, {"@id": "https://www.simplemodeling.org/blog/sm-cli-rest"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}],
      "smorg:summary": [{"@value": "生成AIを単なるコード生成ツールとして使うのではなく、仕様検討の設計ドキュメント・ソースコード・検証可能仕様を三位一体で育てていく開発スタイルを紹介します。 AIを自由にさせすぎないための制約設計、人間が担うべき領域とAIに任せる領域の分離、そして知識を蓄積し再利用するためのドキュメント戦略が本稿の中心テーマです。", "@language": "ja"}, {"@value": "Rather than using generative AI merely as a code generation tool, this article introduces a development style in which design documents for specifications, source code, and executable specifications are evolved together as an integrated whole. The central themes of this article are the design of constraints that prevent AI from acting too freely, the clear separation between responsibilities best handled by humans and those delegated to AI, and documentation strategies for accumulating and reusing knowledge.", "@language": "en"}],
      "smorg:headline": [{"@value": "AI-Collaborative Literary Software Development｜AIと分業する、文芸的ソフトウェア開発の実践", "@language": "ja"}, {"@value": "AI-Collaborative Literary Software Development｜AIと分業する、文芸的ソフトウェア開発の実践", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/blog/my-ai-driven-development.html"}, {"@id": "https://www.simplemodeling.org/en/blog/my-ai-driven-development.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/blog/sm-knowledge-graph"}, {"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-vscode"}, {"@id": "https://www.simplemodeling.org/blog/sm-cli-rest"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}],
      "dcterms:date": "2026-01-05",
      "schema:description": [{"@value": "生成AIを単なるコード生成ツールとして使うのではなく、仕様検討の設計ドキュメント・ソースコード・検証可能仕様を三位一体で育てていく開発スタイルを紹介します。 AIを自由にさせすぎないための制約設計、人間が担うべき領域とAIに任せる領域の分離、そして知識を蓄積し再利用するためのドキュメント戦略が本稿の中心テーマです。", "@language": "ja"}, {"@value": "Rather than using generative AI merely as a code generation tool, this article introduces a development style in which design documents for specifications, source code, and executable specifications are evolved together as an integrated whole. The central themes of this article are the design of constraints that prevent AI from acting too freely, the clear separation between responsibilities best handled by humans and those delegated to AI, and documentation strategies for accumulating and reusing knowledge.", "@language": "en"}],
      "smorg:brief": [{"@value": "ChatGPTとVSCode Codexを使い分けながら、仕様策定・設計・実装・検証を高速に回す「オレ流AI駆動開発」の現在地をまとめます。", "@language": "ja"}, {"@value": "This article summarizes the current state of my personal AI-driven development approach, in which ChatGPT and VS Code Codex are used selectively to rapidly iterate through specification, design, implementation, and verification.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/blog/reinterpreting-up-ai",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "AI時代におけるUnified Processの再解釈", "@language": "ja"}, {"@value": "Reinterpreting the Unified Process in the AI Era", "@language": "en"}, "AI時代におけるUnified Processの再解釈"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "smorg:summary": [{"@value": "前回の記事では、AI時代の開発プロセスの枠組みとして、Unified Processをプロセスの骨格とし、Component-Based Developmentを開発の中心構造として据えるという整理を行いました。\nUPは、反復・漸進 (Iterative & Incremental)、アーキテクチャ中心 (Architecture-Centric)、ユースケース駆動 (Use-Case Driven)という三つの基本原則によってソフトウェア開発プロセスを定義しています。\nこれらの原則はAI時代においても依然として有効です。\nしかしAIによるコード生成が一般化した環境では、それぞれの原則の意味や役割は従来とは少し異なる形で理解する必要があります。\n本稿では、Unified Process の三つの基本原則を手がかりに、AI時代における開発プロセスのあり方を改めて整理してみます。\n", "@language": "ja"}, {"@value": "In the previous article, we organized the development process for the AI era by positioning the Unified Process as the structural backbone of the process and Component-Based Development as the central structure of development.\nThe Unified Process defines the software development process through three core principles: Iterative & Incremental development, Architecture-Centric design, and Use-Case Driven development.\nThese principles remain valid even in the age of AI.\nHowever, in an environment where AI-based code generation has become commonplace, the meaning and role of each principle need to be understood somewhat differently from how they were interpreted in the past.\nIn this article, we revisit the three fundamental principles of the Unified Process as a guide and re-examine the nature of the development process in the AI era.\n", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/blog/reinterpreting-up-ai.html"}, {"@id": "https://www.simplemodeling.org/en/blog/reinterpreting-up-ai.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "dcterms:date": "2026-03-16",
      "schema:description": [{"@value": "前回の記事では、AI時代の開発プロセスの枠組みとして、Unified Processをプロセスの骨格とし、Component-Based Developmentを開発の中心構造として据えるという整理を行いました。\nUPは、反復・漸進 (Iterative & Incremental)、アーキテクチャ中心 (Architecture-Centric)、ユースケース駆動 (Use-Case Driven)という三つの基本原則によってソフトウェア開発プロセスを定義しています。\nこれらの原則はAI時代においても依然として有効です。\nしかしAIによるコード生成が一般化した環境では、それぞれの原則の意味や役割は従来とは少し異なる形で理解する必要があります。\n本稿では、Unified Process の三つの基本原則を手がかりに、AI時代における開発プロセスのあり方を改めて整理してみます。\n", "@language": "ja"}, {"@value": "In the previous article, we organized the development process for the AI era by positioning the Unified Process as the structural backbone of the process and Component-Based Development as the central structure of development.\nThe Unified Process defines the software development process through three core principles: Iterative & Incremental development, Architecture-Centric design, and Use-Case Driven development.\nThese principles remain valid even in the age of AI.\nHowever, in an environment where AI-based code generation has become commonplace, the meaning and role of each principle need to be understood somewhat differently from how they were interpreted in the past.\nIn this article, we revisit the three fundamental principles of the Unified Process as a guide and re-examine the nature of the development process in the AI era.\n", "@language": "en"}],
      "smorg:brief": [{"@value": "前回の記事では、AI時代の開発プロセスの枠組みとして、Unified Processをプロセスの骨格とし、Component-Based Developmentを開発の中心構造として据えるという整理を行いました。\nUPは、反復・漸進 (Iterative & Incremental)、アーキテクチャ中心 (Architecture-Centric)、ユースケース駆動 (Use-Case Driven)という三つの基本原則によってソフトウェア開発プロセスを定義しています。\nこれらの原則はAI時代においても依然として有効です。\nしかしAIによるコード生成が一般化した環境では、それぞれの原則の意味や役割は従来とは少し異なる形で理解する必要があります。\n本稿では、Unified Process の三つの基本原則を手がかりに、AI時代における開発プロセスのあり方を改めて整理してみます。\n", "@language": "ja"}, {"@value": "In the previous article, we organized the development process for the AI era by positioning the Unified Process as the structural backbone of the process and Component-Based Development as the central structure of development.\nThe Unified Process defines the software development process through three core principles: Iterative & Incremental development, Architecture-Centric design, and Use-Case Driven development.\nThese principles remain valid even in the age of AI.\nHowever, in an environment where AI-based code generation has become commonplace, the meaning and role of each principle need to be understood somewhat differently from how they were interpreted in the past.\nIn this article, we revisit the three fundamental principles of the Unified Process as a guide and re-examine the nature of the development process in the AI era.\n", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/blog/sm-cli-rest",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "Semantic Integration Engine CLI", "@language": "ja"}, {"@value": "Semantic Integration Engine CLI", "@language": "en"}, "Semantic Integration Engine CLI"],
      "schema:relatedLink": [{"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-vscode"}],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-vscode"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"},
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-vscode"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}],
      "smorg:summary": [{"@value": "Semantic Integration Engine は、REST / MCP / ChatGPT WebSocket といった複数のインタフェースを備えた多面的な意味検索エンジンです。\nその中でも REST API は、最も汎用的で安定した外部公開インタフェースに位置づけられます。\n本記事では、この REST API を基盤として CLI を構築し、SIE の query 機能をコンソールやシェルスクリプトから直接利用できることを示しました。\nさらに、この CLI を VSCode の Codex や生成AIと組み合わせることで、「外部知識を取得するための道具」として活用できる可能性も確認しました。\n", "@language": "ja"}, {"@value": "The Semantic Integration Engine is a multifaceted semantic search engine that provides multiple interfaces, including REST, MCP, and ChatGPT WebSocket.\nAmong these, the REST API is positioned as the most general-purpose and stable interface for external exposure.\nIn this article, we demonstrated how to build a CLI on top of the REST API, enabling SIE’s query functionality to be used directly from the console and shell scripts.\nWe also confirmed the potential of combining this CLI with VS Code Codex and generative AI, allowing it to be used as a tool for acquiring external knowledge.\n", "@language": "en"}],
      "smorg:headline": [{"@value": "Operate SIE via the CLI — A minimal REST-based client｜CLIを通じてSIEを操作する ― RESTを基盤とした最小クライアント", "@language": "ja"}, {"@value": "Operate SIE via the CLI — A minimal REST-based client｜CLIを通じてSIEを操作する ― RESTを基盤とした最小クライアント", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/blog/sm-cli-rest.html"}, {"@id": "https://www.simplemodeling.org/en/blog/sm-cli-rest.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-vscode"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}],
      "http://www.w3.org/2004/02/skos/core#example": {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"},
      "dcterms:date": "2025-12-29",
      "schema:description": [{"@value": "Semantic Integration Engine は、REST / MCP / ChatGPT WebSocket といった複数のインタフェースを備えた多面的な意味検索エンジンです。\nその中でも REST API は、最も汎用的で安定した外部公開インタフェースに位置づけられます。\n本記事では、この REST API を基盤として CLI を構築し、SIE の query 機能をコンソールやシェルスクリプトから直接利用できることを示しました。\nさらに、この CLI を VSCode の Codex や生成AIと組み合わせることで、「外部知識を取得するための道具」として活用できる可能性も確認しました。\n", "@language": "ja"}, {"@value": "The Semantic Integration Engine is a multifaceted semantic search engine that provides multiple interfaces, including REST, MCP, and ChatGPT WebSocket.\nAmong these, the REST API is positioned as the most general-purpose and stable interface for external exposure.\nIn this article, we demonstrated how to build a CLI on top of the REST API, enabling SIE’s query functionality to be used directly from the console and shell scripts.\nWe also confirmed the potential of combining this CLI with VS Code Codex and generative AI, allowing it to be used as a tool for acquiring external knowledge.\n", "@language": "en"}],
      "smorg:brief": [{"@value": "Semantic Integration Engineが提供する REST API を、CLI（Command Line Interface）として利用する方法を解説します。CLI を用いることで、シェル・スクリプト・生成AIなど、さまざまな実行環境から SIE の意味検索機能を手軽に利用できるようになります。 ", "@language": "ja"}, {"@value": " This section explains how to use the REST API provided by the Semantic Integration Engine as a CLI (Command Line Interface). By using the CLI, SIE’s semantic search capabilities can be easily accessed from a wide range of execution environments, including shell scripts and generative AI systems.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/blog/sm-knowledge-graph",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "KnowledgeGraph Explorer: SimpleModelingの知識グラフを探索する", "@language": "ja"}, {"@value": "KnowledgeGraph Explorer: Exploring the SimpleModeling Knowledge Graph", "@language": "en"}, "KnowledgeGraph Explorer: SimpleModelingの知識グラフを探索する"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/knowledge_graph-explorler"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/knowledge_graph-explorler"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/knowledge_graph-explorler"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "smorg:summary": [{"@value": "本稿では、SimpleModeling.orgのために開発している「ナレッジグラフ・エクスプローラ」の試作版を紹介します。 JSON-LDやRDFに埋め込まれた概念構造を可視化し、ドメインのエンティティや関係を双方向に探索できます。", "@language": "ja"}, {"@value": "This article introduces the prototype Knowledge Graph Explorer developed for SimpleModeling.org. It visualizes the conceptual structure encoded in JSON-LD and RDF, allowing interactive exploration of domain entities and relations.", "@language": "en"}],
      "smorg:headline": [{"@value": "SimpleModelingのナレッジグラフを探索する", "@language": "ja"}, {"@value": "Exploring the Knowledge Graph of SimpleModeling", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/blog/sm-knowledge-graph.html"}, {"@id": "https://www.simplemodeling.org/en/blog/sm-knowledge-graph.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/knowledge_graph-explorler"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/knowledge_graph-explorler"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "dcterms:date": "2025-12-01",
      "dcterms:subject": {"@id": "https://www.simplemodeling.org/tags/blog/knowledge.html"},
      "schema:description": [{"@value": "本稿では、SimpleModeling.orgのために開発している「ナレッジグラフ・エクスプローラ」の試作版を紹介します。 JSON-LDやRDFに埋め込まれた概念構造を可視化し、ドメインのエンティティや関係を双方向に探索できます。", "@language": "ja"}, {"@value": "This article introduces the prototype Knowledge Graph Explorer developed for SimpleModeling.org. It visualizes the conceptual structure encoded in JSON-LD and RDF, allowing interactive exploration of domain entities and relations.", "@language": "en"}],
      "smorg:brief": [{"@value": "SimpleModeling.orgを支えるJSON-LD/RDFベースのナレッジグラフを、可視化デモで紹介します。", "@language": "ja"}, {"@value": "A visual and interactive demonstration of the JSON-LD/RDF-based knowledge graph behind SimpleModeling.org.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "Semantic Integration EngineとChatGPT連携", "@language": "ja"}, {"@value": "Integration between the Semantic Integration Engine and ChatGPT", "@language": "en"}, "Semantic Integration EngineとChatGPT連携"],
      "schema:relatedLink": {"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"},
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/domain-modeling/simpleobject"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/domain-modeling/simpleobject"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/domain-modeling/simpleobject"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "smorg:summary": [{"@value": "本記事では、Semantic Integration Engineと ChatGPT を MCP（Model Context Protocol）で連携させた場合に、ChatGPT がどのように SIE の知識を利用し、推論を行い、最終的な回答を生成しているのかをプロトコルレベルで詳しく解説します。\n重要なのは、ChatGPT が SIE に「答えそのもの」を求めているのではなく、自ら考えるための材料や根拠を取得しているという点です。\n本稿では、擬似的な MCP セッションを再現しながら、SIE が提供する concept / passage / graph / score という返却構造が、なぜ生成AIの推論モデルと高い親和性を持つのかを明らかにします。\n", "@language": "ja"}, {"@value": "This article explains, at the protocol level, what happens when the Semantic Integration Engine and ChatGPT are integrated via MCP (Model Context Protocol),focusing on how ChatGPT uses SIE’s knowledge, performs reasoning, and generates the final response.It provides a detailed explanation from a protocol-level perspective.\nThe important point is that ChatGPT is not requesting “the answer itself” from SIE,but rather retrieving the materials and evidence it needs to reason on its own.\nIn this article, we recreate a simulated MCP session,and examine why SIE’s response structure—concept / passage / graph / score—has a high degree of affinity with the reasoning model of generative AI.\n", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/blog/sm-mcp-chatgpt.html"}, {"@id": "https://www.simplemodeling.org/en/blog/sm-mcp-chatgpt.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/domain-modeling/simpleobject"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/domain-modeling/simpleobject"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "dcterms:date": "2025-12-15",
      "dcterms:subject": {"@id": "https://www.simplemodeling.org/tags/blog/knowledge.html"},
      "schema:description": [{"@value": "本記事では、Semantic Integration Engineと ChatGPT を MCP（Model Context Protocol）で連携させた場合に、ChatGPT がどのように SIE の知識を利用し、推論を行い、最終的な回答を生成しているのかをプロトコルレベルで詳しく解説します。\n重要なのは、ChatGPT が SIE に「答えそのもの」を求めているのではなく、自ら考えるための材料や根拠を取得しているという点です。\n本稿では、擬似的な MCP セッションを再現しながら、SIE が提供する concept / passage / graph / score という返却構造が、なぜ生成AIの推論モデルと高い親和性を持つのかを明らかにします。\n", "@language": "ja"}, {"@value": "This article explains, at the protocol level, what happens when the Semantic Integration Engine and ChatGPT are integrated via MCP (Model Context Protocol),focusing on how ChatGPT uses SIE’s knowledge, performs reasoning, and generates the final response.It provides a detailed explanation from a protocol-level perspective.\nThe important point is that ChatGPT is not requesting “the answer itself” from SIE,but rather retrieving the materials and evidence it needs to reason on its own.\nIn this article, we recreate a simulated MCP session,and examine why SIE’s response structure—concept / passage / graph / score—has a high degree of affinity with the reasoning model of generative AI.\n", "@language": "en"}],
      "smorg:brief": [{"@value": "本記事では、Semantic Integration Engineと ChatGPT を MCP（Model Context Protocol）で連携させた場合に、ChatGPT がどのように SIE の知識を利用し、推論を行い、最終的な回答を生成しているのかをプロトコルレベルで詳しく解説します。\n重要なのは、ChatGPT が SIE に「答えそのもの」を求めているのではなく、自ら考えるための材料や根拠を取得しているという点です。\n本稿では、擬似的な MCP セッションを再現しながら、SIE が提供する concept / passage / graph / score という返却構造が、なぜ生成AIの推論モデルと高い親和性を持つのかを明らかにします。\n", "@language": "ja"}, {"@value": "This article explains, at the protocol level, what happens when the Semantic Integration Engine and ChatGPT are integrated via MCP (Model Context Protocol),focusing on how ChatGPT uses SIE’s knowledge, performs reasoning, and generates the final response.It provides a detailed explanation from a protocol-level perspective.\nThe important point is that ChatGPT is not requesting “the answer itself” from SIE,but rather retrieving the materials and evidence it needs to reason on its own.\nIn this article, we recreate a simulated MCP session,and examine why SIE’s response structure—concept / passage / graph / score—has a high degree of affinity with the reasoning model of generative AI.\n", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/blog/sm-mcp-vscode",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "Semantic Integration EngineとVSCode連携", "@language": "ja"}, {"@value": "Integration between the Semantic Integration Engine and VSCode", "@language": "en"}, "Semantic Integration EngineとVSCode連携"],
      "schema:relatedLink": [{"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "smorg:summary": [{"@value": "Semantic Integration Engine は、RDF・ベクトル検索・知識グラフを統合した RAG 基盤として設計されています。本記事では、その SIE を VSCode から MCP を用いて利用することを目標に、想定した MCP 仕様、アーキテクチャ、docker compose によるデモ環境、そして JSON-RPC ベースの MCP 通信の実例を示します。\n現時点では VSCode 側の MCP 登録が期待通りに動作しなかったため、擬似セッションによる動作確認を行っていますが、SIE が VSCode 向け MCP サーバーとしてどのように振る舞うかを具体的に理解できる内容になっています。\n", "@language": "ja"}, {"@value": "The Semantic Integration Engine is designed as a RAG platform that integrates RDF, vector search, and knowledge graphs.In this article, with the goal of using SIE from VSCode via MCP, we present the assumed MCP specifications, architecture, a demo environment built with docker compose, and concrete examples of JSON-RPC–based MCP communication.\nAt present, because MCP registration on the VSCode side did not work as expected, verification is performed using a pseudo session; nevertheless, the article provides a concrete understanding of how SIE behaves as an MCP server for VSCode.\n", "@language": "en"}],
      "smorg:headline": [{"@value": "Using the Semantic Integration Engine from VSCode via MCP｜VSCodeからSemantic Integration EngineをMCP経由で利用する― An attempt to integrate a knowledge graph into the local development environment ―｜― ローカル開発環境に知識グラフを統合する試み ―", "@language": "ja"}, {"@value": "Using the Semantic Integration Engine from VSCode via MCP｜VSCodeからSemantic Integration EngineをMCP経由で利用する― An attempt to integrate a knowledge graph into the local development environment ―｜― ローカル開発環境に知識グラフを統合する試み ―", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/blog/sm-mcp-vscode.html"}, {"@id": "https://www.simplemodeling.org/en/blog/sm-mcp-vscode.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "dcterms:date": "2025-12-22",
      "schema:description": [{"@value": "Semantic Integration Engine は、RDF・ベクトル検索・知識グラフを統合した RAG 基盤として設計されています。本記事では、その SIE を VSCode から MCP を用いて利用することを目標に、想定した MCP 仕様、アーキテクチャ、docker compose によるデモ環境、そして JSON-RPC ベースの MCP 通信の実例を示します。\n現時点では VSCode 側の MCP 登録が期待通りに動作しなかったため、擬似セッションによる動作確認を行っていますが、SIE が VSCode 向け MCP サーバーとしてどのように振る舞うかを具体的に理解できる内容になっています。\n", "@language": "ja"}, {"@value": "The Semantic Integration Engine is designed as a RAG platform that integrates RDF, vector search, and knowledge graphs.In this article, with the goal of using SIE from VSCode via MCP, we present the assumed MCP specifications, architecture, a demo environment built with docker compose, and concrete examples of JSON-RPC–based MCP communication.\nAt present, because MCP registration on the VSCode side did not work as expected, verification is performed using a pseudo session; nevertheless, the article provides a concrete understanding of how SIE behaves as an MCP server for VSCode.\n", "@language": "en"}],
      "smorg:brief": [{"@value": "本記事では、Semantic Integration Engine（SIE）を VSCode から MCP（Model Context Protocol）経由で利用する構成について解説します。 REST や ChatGPT 連携に続き、ローカル開発環境における AI 支援・知識活用の入り口として、VSCode 連携の設計とデモ構成を紹介します。", "@language": "ja"}, {"@value": "This article explains the configuration for using the Semantic Integration Engine (SIE) from VSCode via MCP (Model Context Protocol). Following the REST and ChatGPT integrations, it introduces the design and demo setup for VSCode integration as an entry point for AI-assisted development and knowledge utilization in the local development environment.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/blog/sm-rag-mcp",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "Semantic Integration Engine: AI時代のBoK活用デモ", "@language": "ja"}, {"@value": "Semantic Integration Engine: A BoK Integration Demo for the AI Era", "@language": "en"}, "Semantic Integration Engine: AI時代のBoK活用デモ"],
      "schema:relatedLink": [{"@id": "https://www.simplemodeling.org/blog/sm-knowledge-graph"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/blog/sm-knowledge-graph"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/knowledge_graph-explorler"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/iri"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/knowledge_graph-explorler"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/iri"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/blog/sm-knowledge-graph"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/knowledge_graph-explorler"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/iri"}],
      "smorg:summary": [{"@value": "BoKの知識をAIにとって“意味的に扱えるデータ”として再構築し、RDF／ベクトル検索／グラフ探索を統合して提供する仕組みがSemantic Integration Engineです。本記事ではアーキテクチャ、起動方法、問い合わせ例、返却JSONの読み解き方を解説します。", "@language": "ja"}, {"@value": "The Semantic Integration Engine rebuilds BoK knowledge into AI-interpretable semantic data by integrating RDF, vector search, and graph retrieval. This article explains the architecture, startup procedure, query example, and interpretation of the returned JSON.", "@language": "en"}],
      "smorg:headline": [{"@value": "Semantic Integration EngineによるAI連携デモ", "@language": "ja"}, {"@value": "Demo of the Semantic Integration Engine for AI Collaboration", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/blog/sm-rag-mcp.html"}, {"@id": "https://www.simplemodeling.org/en/blog/sm-rag-mcp.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/blog/sm-knowledge-graph"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/knowledge_graph-explorler"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/iri"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/knowledge_graph-explorler"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/iri"}],
      "dcterms:date": "2025-12-08",
      "dcterms:subject": {"@id": "https://www.simplemodeling.org/tags/blog/knowledge.html"},
      "schema:description": [{"@value": "BoKの知識をAIにとって“意味的に扱えるデータ”として再構築し、RDF／ベクトル検索／グラフ探索を統合して提供する仕組みがSemantic Integration Engineです。本記事ではアーキテクチャ、起動方法、問い合わせ例、返却JSONの読み解き方を解説します。", "@language": "ja"}, {"@value": "The Semantic Integration Engine rebuilds BoK knowledge into AI-interpretable semantic data by integrating RDF, vector search, and graph retrieval. This article explains the architecture, startup procedure, query example, and interpretation of the returned JSON.", "@language": "en"}],
      "smorg:brief": [{"@value": "BoKで構築した知識をRDF・ベクトルDBに展開し、AIが直接利用できる形に統合する「Semantic Integration Engine（SIE）」の概要と、実際に動作するデモを紹介します。", "@language": "ja"}, {"@value": "An overview and live demo of the Semantic Integration Engine (SIE), which transforms BoK knowledge into RDF and vector representations for AI-ready semantic retrieval.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "AI時代の開発スタック", "@language": "ja"}, {"@value": "AI-Era Development Stack", "@language": "en"}, "AI時代の開発スタック"],
      "schema:relatedLink": [{"@id": "https://www.simplemodeling.org/blog/developmentprocess-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/cbd-ai"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-helloworld"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-component-helloworld"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-cncf"}],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/blog/developmentprocess-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/cbd-ai"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-helloworld"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-component-helloworld"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-cncf"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/blog/developmentprocess-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/cbd-ai"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-helloworld"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-component-helloworld"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-cncf"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "smorg:summary": [{"@value": "本稿では、これまで個別に扱ってきた開発プロセス、CBD、DSL、自動生成、実行基盤(CNCF)を一つの縦方向のスタックとして統合的に整理します。\nSimpleModelingでは、BoKで整理された知識を文芸モデルへと反映し、その構造をDSLとして定義し、CNCFの実行基盤で保証するという一気通貫の構造を採用しています。\nAIは各層において理解・整理・生成・検証を支援するだけでなく、それらを横断的に接続する媒介装置として機能します。\nこの縦方向の連続性が確立されたとき、自然言語世界と実装技術世界は分断されず、構造を保ったまま進化可能な開発スタックが成立します。\n", "@language": "ja"}, {"@value": "This article integratively organizes the development process, CBD, DSL, code generation, and execution platform (CNCF)—previously discussed separately—into a single vertical stack.\nIn SimpleModeling, knowledge organized in the BoK is reflected in the literate model, defined structurally as a DSL, and guaranteed by the CNCF execution platform, forming an end-to-end architecture.\nAI not only supports understanding, structuring, generation, and validation at each layer, but also functions as a mediating device that connects them across layers.\nWhen this vertical continuity is established, the natural language world and the implementation technology world are no longer divided, enabling an evolvable development stack that preserves structural integrity.\n", "@language": "en"}],
      "smorg:headline": [{"@value": "BoK→文芸モデル→DSL→CNCFをAIが束ねる、AI時代の開発スタックの全体像。", "@language": "ja"}, {"@value": "An overview of the AI-era development stack in which AI unifies BoK → literate model → DSL → CNCF.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/blog/up-for-ai-cbd.html"}, {"@id": "https://www.simplemodeling.org/en/blog/up-for-ai-cbd.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/blog/developmentprocess-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/cbd-ai"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-helloworld"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-component-helloworld"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-cncf"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "dcterms:date": "2026-02-16",
      "schema:description": [{"@value": "本稿では、これまで個別に扱ってきた開発プロセス、CBD、DSL、自動生成、実行基盤(CNCF)を一つの縦方向のスタックとして統合的に整理します。\nSimpleModelingでは、BoKで整理された知識を文芸モデルへと反映し、その構造をDSLとして定義し、CNCFの実行基盤で保証するという一気通貫の構造を採用しています。\nAIは各層において理解・整理・生成・検証を支援するだけでなく、それらを横断的に接続する媒介装置として機能します。\nこの縦方向の連続性が確立されたとき、自然言語世界と実装技術世界は分断されず、構造を保ったまま進化可能な開発スタックが成立します。\n", "@language": "ja"}, {"@value": "This article integratively organizes the development process, CBD, DSL, code generation, and execution platform (CNCF)—previously discussed separately—into a single vertical stack.\nIn SimpleModeling, knowledge organized in the BoK is reflected in the literate model, defined structurally as a DSL, and guaranteed by the CNCF execution platform, forming an end-to-end architecture.\nAI not only supports understanding, structuring, generation, and validation at each layer, but also functions as a mediating device that connects them across layers.\nWhen this vertical continuity is established, the natural language world and the implementation technology world are no longer divided, enabling an evolvable development stack that preserves structural integrity.\n", "@language": "en"}],
      "smorg:brief": [{"@value": "本稿では、これまで個別に扱ってきた開発プロセス、CBD、DSL、自動生成、実行基盤(CNCF)を一つの縦方向のスタックとして統合的に整理します。\nSimpleModelingでは、BoKで整理された知識を文芸モデルへと反映し、その構造をDSLとして定義し、CNCFの実行基盤で保証するという一気通貫の構造を採用しています。\nAIは各層において理解・整理・生成・検証を支援するだけでなく、それらを横断的に接続する媒介装置として機能します。\nこの縦方向の連続性が確立されたとき、自然言語世界と実装技術世界は分断されず、構造を保ったまま進化可能な開発スタックが成立します。\n", "@language": "ja"}, {"@value": "This article integratively organizes the development process, CBD, DSL, code generation, and execution platform (CNCF)—previously discussed separately—into a single vertical stack.\nIn SimpleModeling, knowledge organized in the BoK is reflected in the literate model, defined structurally as a DSL, and guaranteed by the CNCF execution platform, forming an end-to-end architecture.\nAI not only supports understanding, structuring, generation, and validation at each layer, but also functions as a mediating device that connects them across layers.\nWhen this vertical continuity is established, the natural language world and the implementation technology world are no longer divided, enabling an evolvable development stack that preserves structural integrity.\n", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-cncf",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "DSLと実行基盤が成立させるCBD:実装可能なコンポーネント構造", "@language": "ja"}, {"@value": "CBD Enabled by DSL and Execution Platform: Implementable Component Structure", "@language": "en"}, "DSLと実行基盤が成立させるCBD:実装可能なコンポーネント構造"],
      "schema:relatedLink": [{"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd"}, {"@id": "https://www.simplemodeling.org/blog/cbd-ai"}],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd"}, {"@id": "https://www.simplemodeling.org/blog/cbd-ai"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd"}, {"@id": "https://www.simplemodeling.org/blog/cbd-ai"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "smorg:summary": [{"@value": "本稿では、DSLと実行基盤の組み合わせによってCBDが実装可能な構造として成立することを論じます。 Cozyが分析モデルをDSLとして厳密に定義し、CNCFがその仕様を実行時に構造として保証することで、コンポーネントは単なる設計概念ではなく、登録・発見・接続可能な実体となります。 さらに、CQRSを軸としたクラウド前提アーキテクチャ、品質属性の外部化、非同期抽象化を統合することで、CBDはAI時代に適合した実行可能なアーキテクチャ単位として再定義されます。", "@language": "ja"}, {"@value": "This article argues that through the combination of a DSL and an execution platform, CBD becomes an implementable structural reality. By rigorously defining analysis models as a DSL in Cozy and structurally guaranteeing those specifications at runtime through CNCF, components become not merely design concepts but concrete entities that can be registered, discovered, and connected. Furthermore, by integrating a cloud-native architecture centered on CQRS, the externalization of quality attributes, and asynchronous abstraction, CBD is redefined as an executable architectural unit suited for the AI era.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/blog/up-for-ai-cbd-cncf.html"}, {"@id": "https://www.simplemodeling.org/en/blog/up-for-ai-cbd-cncf.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd"}, {"@id": "https://www.simplemodeling.org/blog/cbd-ai"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "dcterms:date": "2026-02-23",
      "schema:description": [{"@value": "本稿では、DSLと実行基盤の組み合わせによってCBDが実装可能な構造として成立することを論じます。 Cozyが分析モデルをDSLとして厳密に定義し、CNCFがその仕様を実行時に構造として保証することで、コンポーネントは単なる設計概念ではなく、登録・発見・接続可能な実体となります。 さらに、CQRSを軸としたクラウド前提アーキテクチャ、品質属性の外部化、非同期抽象化を統合することで、CBDはAI時代に適合した実行可能なアーキテクチャ単位として再定義されます。", "@language": "ja"}, {"@value": "This article argues that through the combination of a DSL and an execution platform, CBD becomes an implementable structural reality. By rigorously defining analysis models as a DSL in Cozy and structurally guaranteeing those specifications at runtime through CNCF, components become not merely design concepts but concrete entities that can be registered, discovered, and connected. Furthermore, by integrating a cloud-native architecture centered on CQRS, the externalization of quality attributes, and asynchronous abstraction, CBD is redefined as an executable architectural unit suited for the AI era.", "@language": "en"}],
      "smorg:brief": [{"@value": "本稿では、DSLと実行基盤の組み合わせによってCBDが実装可能な構造として成立することを論じます。 Cozyが分析モデルをDSLとして厳密に定義し、CNCFがその仕様を実行時に構造として保証することで、コンポーネントは単なる設計概念ではなく、登録・発見・接続可能な実体となります。 さらに、CQRSを軸としたクラウド前提アーキテクチャ、品質属性の外部化、非同期抽象化を統合することで、CBDはAI時代に適合した実行可能なアーキテクチャ単位として再定義されます。", "@language": "ja"}, {"@value": "This article argues that through the combination of a DSL and an execution platform, CBD becomes an implementable structural reality. By rigorously defining analysis models as a DSL in Cozy and structurally guaranteeing those specifications at runtime through CNCF, components become not merely design concepts but concrete entities that can be registered, discovered, and connected. Furthermore, by integrating a cloud-native architecture centered on CQRS, the externalization of quality attributes, and asynchronous abstraction, CBD is redefined as an executable architectural unit suited for the AI era.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-process",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "CBDを軸にしたAI時代の開発プロセス", "@language": "ja"}, {"@value": "CBD-Centered Development Process in the AI Era", "@language": "en"}, "CBDを軸にしたAI時代の開発プロセス"],
      "schema:relatedLink": [{"@id": "https://www.simplemodeling.org/blog/developmentprocess-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-cncf"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-value"}],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/blog/developmentprocess-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-cncf"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-value"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/blog/developmentprocess-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-cncf"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-value"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "smorg:summary": [{"@value": "AI時代のソフトウェア開発では、コード生成能力よりもシステム構造の設計が重要になります。\n本稿では、Unified Process (UP) をプロセスの骨格とし、Component-Based Development (CBD) を中心構造とするAI支援開発の基本的な枠組みを整理します。\n", "@language": "ja"}, {"@value": "In the AI era of software development, the design of system structure becomes more important than the capability of code generation.\nThis article organizes a basic framework for AI-assisted development, using the Unified Process (UP) as the backbone of the process and Component-Based Development (CBD) as the central architectural structure.\n", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/blog/up-for-ai-cbd-process.html"}, {"@id": "https://www.simplemodeling.org/en/blog/up-for-ai-cbd-process.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/blog/developmentprocess-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-cncf"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-value"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "dcterms:date": "2026-03-09",
      "schema:description": [{"@value": "AI時代のソフトウェア開発では、コード生成能力よりもシステム構造の設計が重要になります。\n本稿では、Unified Process (UP) をプロセスの骨格とし、Component-Based Development (CBD) を中心構造とするAI支援開発の基本的な枠組みを整理します。\n", "@language": "ja"}, {"@value": "In the AI era of software development, the design of system structure becomes more important than the capability of code generation.\nThis article organizes a basic framework for AI-assisted development, using the Unified Process (UP) as the backbone of the process and Component-Based Development (CBD) as the central architectural structure.\n", "@language": "en"}],
      "smorg:brief": [{"@value": "AI時代のソフトウェア開発では、コード生成能力よりもシステム構造の設計が重要になります。\n本稿では、Unified Process (UP) をプロセスの骨格とし、Component-Based Development (CBD) を中心構造とするAI支援開発の基本的な枠組みを整理します。\n", "@language": "ja"}, {"@value": "In the AI era of software development, the design of system structure becomes more important than the capability of code generation.\nThis article organizes a basic framework for AI-assisted development, using the Unified Process (UP) as the backbone of the process and Component-Based Development (CBD) as the central architectural structure.\n", "@language": "en"}]
    },
    {
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      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "AI時代のCBDの価値を考える", "@language": "ja"}, {"@value": "The Value of CBD in the AI Era", "@language": "en"}, "AI時代のCBDの価値を考える"],
      "schema:relatedLink": [{"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-cncf"}, {"@id": "https://www.simplemodeling.org/blog/cbd-ai"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-process"}],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-cncf"}, {"@id": "https://www.simplemodeling.org/blog/cbd-ai"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-process"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-cncf"}, {"@id": "https://www.simplemodeling.org/blog/cbd-ai"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-process"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "smorg:summary": [{"@value": "AIはソフトウェア開発を加速させる一方で、構造の不安定化という新たな課題をもたらしました。\n本稿では、CBDがもともと持つ構造的長所に加え、AI時代において、生成精度を高める構造制約、不安定化を抑える境界と仕様、AIによって強化される再利用性という観点から、その現代的な価値を整理します。\nCBDは単なる再利用技法ではなく、AIを前提とした開発を安定させる基盤技術として再評価されるべき存在です。\n", "@language": "ja"}, {"@value": "While AI accelerates software development, it has also introduced a new challenge: structural instability.\nThis article revisits the contemporary value of CBD by examining not only its original structural strengths, but also its role in the AI era—through structural constraints that improve generation accuracy, boundaries and specifications that suppress instability, and reusability enhanced by AI.\nCBD should not be regarded merely as a reuse technique, but rather be re-evaluated as a foundational technology that stabilizes development in an AI-first era.\n", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/blog/up-for-ai-cbd-value.html"}, {"@id": "https://www.simplemodeling.org/en/blog/up-for-ai-cbd-value.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-cncf"}, {"@id": "https://www.simplemodeling.org/blog/cbd-ai"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-process"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "dcterms:date": "2026-03-02",
      "schema:description": [{"@value": "AIはソフトウェア開発を加速させる一方で、構造の不安定化という新たな課題をもたらしました。\n本稿では、CBDがもともと持つ構造的長所に加え、AI時代において、生成精度を高める構造制約、不安定化を抑える境界と仕様、AIによって強化される再利用性という観点から、その現代的な価値を整理します。\nCBDは単なる再利用技法ではなく、AIを前提とした開発を安定させる基盤技術として再評価されるべき存在です。\n", "@language": "ja"}, {"@value": "While AI accelerates software development, it has also introduced a new challenge: structural instability.\nThis article revisits the contemporary value of CBD by examining not only its original structural strengths, but also its role in the AI era—through structural constraints that improve generation accuracy, boundaries and specifications that suppress instability, and reusability enhanced by AI.\nCBD should not be regarded merely as a reuse technique, but rather be re-evaluated as a foundational technology that stabilizes development in an AI-first era.\n", "@language": "en"}],
      "smorg:brief": [{"@value": "AIはソフトウェア開発を加速させる一方で、構造の不安定化という新たな課題をもたらしました。\n本稿では、CBDがもともと持つ構造的長所に加え、AI時代において、生成精度を高める構造制約、不安定化を抑える境界と仕様、AIによって強化される再利用性という観点から、その現代的な価値を整理します。\nCBDは単なる再利用技法ではなく、AIを前提とした開発を安定させる基盤技術として再評価されるべき存在です。\n", "@language": "ja"}, {"@value": "While AI accelerates software development, it has also introduced a new challenge: structural instability.\nThis article revisits the contemporary value of CBD by examining not only its original structural strengths, but also its role in the AI era—through structural constraints that improve generation accuracy, boundaries and specifications that suppress instability, and reusability enhanced by AI.\nCBD should not be regarded merely as a reuse technique, but rather be re-evaluated as a foundational technology that stabilizes development in an AI-first era.\n", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/blog/up-for-ai-era",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "AI時代の開発プロセスの枠組み", "@language": "ja"}, {"@value": "Framing the Development Process in the AI Era", "@language": "en"}, "AI時代の開発プロセスの枠組み"],
      "schema:relatedLink": {"@id": "https://www.simplemodeling.org/blog/developmentprocess-for-ai-era"},
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/blog/developmentprocess-for-ai-era"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": {"@id": "https://www.simplemodeling.org/glossary/development-process/up"},
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/blog/developmentprocess-for-ai-era"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}],
      "smorg:summary": [{"@value": "AI時代のソフトウェア開発では、反復と漸進の意味が大きく変化します。 それはコードや機能を積み上げることではなく、AIと共有する文脈や前提条件を安定させ、拡張していくプロセスです。 UPのフェーズ構造は、この文脈調整を段階的に行い、高速で安全な作成フェーズを成立させるための有効な枠組みとなります。", "@language": "ja"}, {"@value": "In the AI era, the meaning of iteration and increment in software development changes significantly. Rather than accumulating code or features, it is the process of stabilizing and expanding the context and assumptions shared with AI. The phase structure of UP provides an effective framework for incrementally adjusting this context and enabling a fast and safe construction phase.", "@language": "en"}],
      "smorg:headline": [{"@value": "本記事では、Unified Process（UP）を補助線として、AI時代におけるソフトウェア開発プロセスとプロジェクト管理の再構成について整理します。 特に、構想・推敲・作成・移行というフェーズ構造を通じて、AIの役割がどのように変化するのかを明らかにします。", "@language": "ja"}, {"@value": "This article uses the Unified Process (UP) as a guiding framework to reorganize software development processes and project management in the AI era. In particular, it clarifies how the role of AI changes across the phases of inception, elaboration, construction, and transition.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/blog/up-for-ai-era.html"}, {"@id": "https://www.simplemodeling.org/en/blog/up-for-ai-era.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/blog/developmentprocess-for-ai-era"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}],
      "http://www.w3.org/2004/02/skos/core#example": {"@id": "https://www.simplemodeling.org/glossary/development-process/up"},
      "dcterms:date": "2026-02-09",
      "schema:description": [{"@value": "AI時代のソフトウェア開発では、反復と漸進の意味が大きく変化します。 それはコードや機能を積み上げることではなく、AIと共有する文脈や前提条件を安定させ、拡張していくプロセスです。 UPのフェーズ構造は、この文脈調整を段階的に行い、高速で安全な作成フェーズを成立させるための有効な枠組みとなります。", "@language": "ja"}, {"@value": "In the AI era, the meaning of iteration and increment in software development changes significantly. Rather than accumulating code or features, it is the process of stabilizing and expanding the context and assumptions shared with AI. The phase structure of UP provides an effective framework for incrementally adjusting this context and enabling a fast and safe construction phase.", "@language": "en"}],
      "smorg:brief": [{"@value": "本記事では、Unified Process（UP）を補助線として、AI時代におけるソフトウェア開発プロセスとプロジェクト管理の再構成について整理します。 特に、構想・推敲・作成・移行というフェーズ構造を通じて、AIの役割がどのように変化するのかを明らかにします。", "@language": "ja"}, {"@value": "This article uses the Unified Process (UP) as a guiding framework to reorganize software development processes and project management in the AI era. In particular, it clarifies how the role of AI changes across the phases of inception, elaboration, construction, and transition.", "@language": "en"}]
    },
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      "bok:includesDocumentModel": {"@id": "https://www.simplemodeling.org/bok/document-model"},
      "bok:includesSimpleModel": {"@id": "https://www.simplemodeling.org/bok/simple-model"},
      "bok:includesComponentRepository": {"@id": "https://www.simplemodeling.org/bok/component-repository"}
    },
    {
      "@id": "https://www.simplemodeling.org/bok/component-repository",
      "rdf:type": {"@id": "bok:ComponentRepository"},
      "rdfs:label": "Component Repository"
    },
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      "rdf:type": {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#DocumentModelRoot"},
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      "rdfs:label": "Simple Model"
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      "@id": "https://www.simplemodeling.org/component-based-development/cncf-authorization-model",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "CNCFにおける認可モデル", "@language": "ja"}, {"@value": "CNCF Authorization Model", "@language": "en"}, "CNCFにおける認可モデル"],
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      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"},
      "dcterms:references": {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"},
      "smorg:summary": [{"@value": "CNCFの認可は、「操作の入口」と「リソースへのアクセス」の二箇所で評価される。 ロール・パーミッション・リレーション・ABACはすべてCapabilityまたはGuardに正規化され、 最終的に一貫した判定モデルで評価される。", "@language": "ja"}, {"@value": "CNCF authorization evaluates both operation entry points and resource access. Roles, permissions, relations, and ABAC are normalized into capabilities and guards, and evaluated through a unified decision model.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/component-based-development/cncf-authorization-model.html"}, {"@id": "https://www.simplemodeling.org/en/component-based-development/cncf-authorization-model.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"},
      "http://www.w3.org/2004/02/skos/core#example": {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"},
      "dcterms:date": "2026-05-04",
      "schema:description": [{"@value": "CNCFの認可は、「操作の入口」と「リソースへのアクセス」の二箇所で評価される。 ロール・パーミッション・リレーション・ABACはすべてCapabilityまたはGuardに正規化され、 最終的に一貫した判定モデルで評価される。", "@language": "ja"}, {"@value": "CNCF authorization evaluates both operation entry points and resource access. Roles, permissions, relations, and ABAC are normalized into capabilities and guards, and evaluated through a unified decision model.", "@language": "en"}],
      "smorg:brief": [{"@value": "CNCFの認可は、「操作の入口」と「リソースへのアクセス」の二箇所で評価される。 ロール・パーミッション・リレーション・ABACはすべてCapabilityまたはGuardに正規化され、 最終的に一貫した判定モデルで評価される。", "@language": "ja"}, {"@value": "CNCF authorization evaluates both operation entry points and resource access. Roles, permissions, relations, and ABAC are normalized into capabilities and guards, and evaluated through a unified decision model.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/component-based-development/cncf-component-helloworld",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "HelloWorldで理解するCNCFの実行モデル", "@language": "ja"}, {"@value": "Understanding the CNCF Execution Model Through HelloWorld", "@language": "en"}, "HelloWorldで理解するCNCFの実行モデル"],
      "schema:relatedLink": {"@id": "https://www.simplemodeling.org/component-based-development/cncf-helloworld"},
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-helloworld"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-helloworld"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "smorg:summary": [{"@value": "SimpleModelingはコンポーネント指向をベースとした開発方法論です。コンポーネント指向を成立させるためには、概念的なモデルの定義に加えてコンポーネントの実行系が必要です。この目的でクラウド・プラットフォーム上で動作するクラウド・アプリケーション用のコンポーネント・フレームワークとして開発しているのがCloud Native Component Frameworkです。\n本記事ではHelloWorldを通して、Cloud Native Component Frameworkの実行モデルについて見ていきます。\n", "@language": "ja"}, {"@value": "SimpleModeling is a development methodology based on component-oriented principles.To make component-oriented development viable, an execution system for components is required in addition to the definition of conceptual models.For this purpose, the Cloud Native Component Framework has been developed as a component framework for cloud applications that run on cloud platforms.\nIn this article, we will explore the execution model of the Cloud Native Component Framework through a HelloWorld example.\n", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/component-based-development/cncf-component-helloworld.html"}, {"@id": "https://www.simplemodeling.org/en/component-based-development/cncf-component-helloworld.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-helloworld"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "dcterms:date": "2026-01-26",
      "schema:description": [{"@value": "SimpleModelingはコンポーネント指向をベースとした開発方法論です。コンポーネント指向を成立させるためには、概念的なモデルの定義に加えてコンポーネントの実行系が必要です。この目的でクラウド・プラットフォーム上で動作するクラウド・アプリケーション用のコンポーネント・フレームワークとして開発しているのがCloud Native Component Frameworkです。\n本記事ではHelloWorldを通して、Cloud Native Component Frameworkの実行モデルについて見ていきます。\n", "@language": "ja"}, {"@value": "SimpleModeling is a development methodology based on component-oriented principles.To make component-oriented development viable, an execution system for components is required in addition to the definition of conceptual models.For this purpose, the Cloud Native Component Framework has been developed as a component framework for cloud applications that run on cloud platforms.\nIn this article, we will explore the execution model of the Cloud Native Component Framework through a HelloWorld example.\n", "@language": "en"}],
      "smorg:brief": [{"@value": "SimpleModelingはコンポーネント指向をベースとした開発方法論です。コンポーネント指向を成立させるためには、概念的なモデルの定義に加えてコンポーネントの実行系が必要です。この目的でクラウド・プラットフォーム上で動作するクラウド・アプリケーション用のコンポーネント・フレームワークとして開発しているのがCloud Native Component Frameworkです。\n本記事ではHelloWorldを通して、Cloud Native Component Frameworkの実行モデルについて見ていきます。\n", "@language": "ja"}, {"@value": "SimpleModeling is a development methodology based on component-oriented principles.To make component-oriented development viable, an execution system for components is required in addition to the definition of conceptual models.For this purpose, the Cloud Native Component Framework has been developed as a component framework for cloud applications that run on cloud platforms.\nIn this article, we will explore the execution model of the Cloud Native Component Framework through a HelloWorld example.\n", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/component-based-development/cncf-helloworld",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "Cloud Native Component Framework:HelloWorld", "@language": "ja"}, {"@value": "Cloud Native Component Framework:HelloWorld", "@language": "en"}, "Cloud Native Component Framework:HelloWorld"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "smorg:summary": [{"@value": "Cloud Native Component Framework は、文芸駆動モデルの動作基盤となるコンポーネント・フレームワークです。 CNCF を理解する最短ルートは、まず実際に動かしてみることです。 command から始め、server、client、custom component へと進むことで、実行形態が変わっても内部の実行モデルが変わらないことを確認します。", "@language": "ja"}, {"@value": "Cloud Native Component Framework is a component framework that serves as the execution foundation for literate model-driven development. The shortest path to understanding CNCF is to actually run it first. By starting with command execution and proceeding to server, client, and custom components, you can confirm that the internal execution model does not change even when the execution form does.", "@language": "en"}],
      "smorg:headline": [{"@value": "HelloWorld Execution Model of CNCF｜HelloWorldで体感するCNCFの実行モデル ― command / server / client / script are all the same｜― command / server / client / script はすべて同一である ―", "@language": "ja"}, {"@value": "HelloWorld Execution Model of CNCF｜HelloWorldで体感するCNCFの実行モデル ― command / server / client / script are all the same｜― command / server / client / script はすべて同一である ―", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/component-based-development/cncf-helloworld.html"}, {"@id": "https://www.simplemodeling.org/en/component-based-development/cncf-helloworld.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "dcterms:date": "2026-01-19",
      "schema:description": [{"@value": "Cloud Native Component Framework は、文芸駆動モデルの動作基盤となるコンポーネント・フレームワークです。 CNCF を理解する最短ルートは、まず実際に動かしてみることです。 command から始め、server、client、custom component へと進むことで、実行形態が変わっても内部の実行モデルが変わらないことを確認します。", "@language": "ja"}, {"@value": "Cloud Native Component Framework is a component framework that serves as the execution foundation for literate model-driven development. The shortest path to understanding CNCF is to actually run it first. By starting with command execution and proceeding to server, client, and custom components, you can confirm that the internal execution model does not change even when the execution form does.", "@language": "en"}],
      "smorg:brief": [{"@value": "CNCF を理解する最短ルートは、まず実際に動かしてみることです。\ncommand から始め、server、client、custom component へと進むことで、実行形態が変わっても内部の実行モデルが変わらないことを確認します。\n", "@language": "ja"}, {"@value": "The shortest path to understanding CNCF is to actually run it first.\nBy starting with command execution and moving on to server, client, and custom components, you can confirm that the internal execution model remains the same even when the execution form changes.\n", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/component-based-development/cncf-job-model",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "CNCFにおけるジョブ管理", "@language": "ja"}, {"@value": "Job Management in CNCF", "@language": "en"}, "CNCFにおけるジョブ管理"],
      "schema:mentions": {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"},
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"},
      "dcterms:references": {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"},
      "smorg:summary": [{"@value": "CNCFのJob管理は、Commandの実行状態、結果、診断情報を管理するための仕組みです。 同期実行、Job付き同期実行、非同期実行、同期実行＋非同期継続を同じモデルで扱い、 Event発行後の処理も同期型または非同期型の購読として整理できます。", "@language": "ja"}, {"@value": "CNCF Job Management manages Command execution state, results, and diagnostics. It handles synchronous execution, synchronous execution with Job tracking, asynchronous execution, and synchronous execution with asynchronous continuation through one model, and it organizes follow-up processing after Event publication as either synchronous or asynchronous subscriptions.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/component-based-development/cncf-job-model.html"}, {"@id": "https://www.simplemodeling.org/en/component-based-development/cncf-job-model.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"},
      "http://www.w3.org/2004/02/skos/core#example": {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"},
      "dcterms:date": "2026-06-08",
      "schema:description": [{"@value": "CNCFのJob管理は、Commandの実行状態、結果、診断情報を管理するための仕組みです。 同期実行、Job付き同期実行、非同期実行、同期実行＋非同期継続を同じモデルで扱い、 Event発行後の処理も同期型または非同期型の購読として整理できます。", "@language": "ja"}, {"@value": "CNCF Job Management manages Command execution state, results, and diagnostics. It handles synchronous execution, synchronous execution with Job tracking, asynchronous execution, and synchronous execution with asynchronous continuation through one model, and it organizes follow-up processing after Event publication as either synchronous or asynchronous subscriptions.", "@language": "en"}],
      "smorg:brief": [{"@value": "CNCFのJob管理は、Commandの実行状態、結果、診断情報を管理するための仕組みです。 同期実行、Job付き同期実行、非同期実行、同期実行＋非同期継続を同じモデルで扱い、 Event発行後の処理も同期型または非同期型の購読として整理できます。", "@language": "ja"}, {"@value": "CNCF Job Management manages Command execution state, results, and diagnostics. It handles synchronous execution, synchronous execution with Job tracking, asynchronous execution, and synchronous execution with asynchronous continuation through one model, and it organizes follow-up processing after Event publication as either synchronous or asynchronous subscriptions.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/component-based-development/cncf-observability-sample",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "CNCFにおけるObservability", "@language": "ja"}, {"@value": "Observability in CNCF", "@language": "en"}, "CNCFにおけるObservability"],
      "schema:mentions": {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"},
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"},
      "dcterms:references": {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"},
      "smorg:summary": [{"@value": "AI駆動開発では、SecurityやObservabilityのような非機能要件をどのように成立させるのかが大きな論点になります。\nObservabilityだけを考えても、分散トレース、メトリクス、構造化診断、Payload保護、外部監視基盤連携など、多数の横断的機能が必要になります。\nこれらを毎回AIへ自然文で指示し、個別実装へ委譲すると、生成コスト・レビューコスト・運用コストが急速に増大し、品質保証も不安定になります。\nそのためCML&CNCFでは、文芸モデルへ十分な構造情報を記述すると、モデルコンパイラと実行フレームワークがSecurityやObservabilityを横断的に成立させます。\n", "@language": "ja"}, {"@value": "In AI-driven development, one of the central questions is how to achieve non-functional requirements such as Security and Observability.\nEven observability alone requires many cross-cutting concerns such as distributed tracing, metrics, structured diagnostics, payload protection, and integration with external observability platforms.\nDelegating these concerns to individually generated implementations rapidly increases generation, review, and operational costs while also destabilizing quality assurance.\nFor this reason, once sufficient structural information is described in the Literate Model, the CML&CNCF model compiler and execution framework establish Security and Observability as cross-cutting runtime behavior.\n", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/component-based-development/cncf-observability-sample.html"}, {"@id": "https://www.simplemodeling.org/en/component-based-development/cncf-observability-sample.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"},
      "http://www.w3.org/2004/02/skos/core#example": {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"},
      "dcterms:date": "2026-05-18",
      "schema:description": [{"@value": "AI駆動開発では、SecurityやObservabilityのような非機能要件をどのように成立させるのかが大きな論点になります。\nObservabilityだけを考えても、分散トレース、メトリクス、構造化診断、Payload保護、外部監視基盤連携など、多数の横断的機能が必要になります。\nこれらを毎回AIへ自然文で指示し、個別実装へ委譲すると、生成コスト・レビューコスト・運用コストが急速に増大し、品質保証も不安定になります。\nそのためCML&CNCFでは、文芸モデルへ十分な構造情報を記述すると、モデルコンパイラと実行フレームワークがSecurityやObservabilityを横断的に成立させます。\n", "@language": "ja"}, {"@value": "In AI-driven development, one of the central questions is how to achieve non-functional requirements such as Security and Observability.\nEven observability alone requires many cross-cutting concerns such as distributed tracing, metrics, structured diagnostics, payload protection, and integration with external observability platforms.\nDelegating these concerns to individually generated implementations rapidly increases generation, review, and operational costs while also destabilizing quality assurance.\nFor this reason, once sufficient structural information is described in the Literate Model, the CML&CNCF model compiler and execution framework establish Security and Observability as cross-cutting runtime behavior.\n", "@language": "en"}],
      "smorg:brief": [{"@value": "AI駆動開発では、SecurityやObservabilityのような非機能要件をどのように成立させるのかが大きな論点になります。\nObservabilityだけを考えても、分散トレース、メトリクス、構造化診断、Payload保護、外部監視基盤連携など、多数の横断的機能が必要になります。\nこれらを毎回AIへ自然文で指示し、個別実装へ委譲すると、生成コスト・レビューコスト・運用コストが急速に増大し、品質保証も不安定になります。\nそのためCML&CNCFでは、文芸モデルへ十分な構造情報を記述すると、モデルコンパイラと実行フレームワークがSecurityやObservabilityを横断的に成立させます。\n", "@language": "ja"}, {"@value": "In AI-driven development, one of the central questions is how to achieve non-functional requirements such as Security and Observability.\nEven observability alone requires many cross-cutting concerns such as distributed tracing, metrics, structured diagnostics, payload protection, and integration with external observability platforms.\nDelegating these concerns to individually generated implementations rapidly increases generation, review, and operational costs while also destabilizing quality assurance.\nFor this reason, once sufficient structural information is described in the Literate Model, the CML&CNCF model compiler and execution framework establish Security and Observability as cross-cutting runtime behavior.\n", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-01-component-script",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "Textus Samples 01:Component Script", "@language": "ja"}, {"@value": "Textus Samples 01:Component Script", "@language": "en"}, "Textus Samples 01:Component Script"],
      "schema:relatedLink": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-launchers-install"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-02-component-packaging"}],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-launchers-install"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-02-component-packaging"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "dcterms:modified": "2026-07-13",
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-launchers-install"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-02-component-packaging"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "smorg:summary": [{"@value": "01.d-component-script は、textus-tutorial 0.1.3 の中で、小さな管理コマンドを Textus operation contract に接続する script-style operational form を確認するサンプルです。", "@language": "ja"}, {"@value": "01.d-component-script is a textus-tutorial 0.1.3 sample for learning the script-style operational form that connects a small management command to a Textus operation contract.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/component-based-development/cncf-samples-01-component-script.html"}, {"@id": "https://www.simplemodeling.org/en/component-based-development/cncf-samples-01-component-script.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-launchers-install"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-02-component-packaging"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "dcterms:date": "2026-06-22",
      "schema:description": [{"@value": "01.d-component-script は、textus-tutorial 0.1.3 の中で、小さな管理コマンドを Textus operation contract に接続する script-style operational form を確認するサンプルです。", "@language": "ja"}, {"@value": "01.d-component-script is a textus-tutorial 0.1.3 sample for learning the script-style operational form that connects a small management command to a Textus operation contract.", "@language": "en"}],
      "smorg:brief": [{"@value": "01.d-component-script は、textus-tutorial 0.1.3 の中で、小さな管理コマンドを Textus operation contract に接続する script-style operational form を確認するサンプルです。", "@language": "ja"}, {"@value": "01.d-component-script is a textus-tutorial 0.1.3 sample for learning the script-style operational form that connects a small management command to a Textus operation contract.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-01-minimal",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "Textus Samples 01: 最小実行モデル", "@language": "ja"}, {"@value": "Textus Samples 01: Minimal Execution", "@language": "en"}, "Textus Samples 01: 最小実行モデル"],
      "schema:relatedLink": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-launchers-install"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-01a-invocation-source"}],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-launchers-install"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-01a-invocation-source"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "dcterms:modified": "2026-07-13",
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-launchers-install"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-01a-invocation-source"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "smorg:summary": [{"@value": "01-minimal 系のサンプルで、Textus component の最小 Component / Service / Operation と、それを CNCF engine 上で呼び出す形を確認します。", "@language": "ja"}, {"@value": "This article uses the 01-minimal family to examine the smallest Textus Component / Service / Operation and how it is invoked on the CNCF engine.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/component-based-development/cncf-samples-01-minimal.html"}, {"@id": "https://www.simplemodeling.org/en/component-based-development/cncf-samples-01-minimal.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-launchers-install"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-01a-invocation-source"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}],
      "dcterms:date": "2026-06-29",
      "schema:description": [{"@value": "01-minimal 系のサンプルで、Textus component の最小 Component / Service / Operation と、それを CNCF engine 上で呼び出す形を確認します。", "@language": "ja"}, {"@value": "This article uses the 01-minimal family to examine the smallest Textus Component / Service / Operation and how it is invoked on the CNCF engine.", "@language": "en"}],
      "smorg:brief": [{"@value": "01-minimal 系のサンプルで、Textus component の最小 Component / Service / Operation と、それを CNCF engine 上で呼び出す形を確認します。", "@language": "ja"}, {"@value": "This article uses the 01-minimal family to examine the smallest Textus Component / Service / Operation and how it is invoked on the CNCF engine.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-01a-invocation-source",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "Textus Samples 01.a: 呼び出し元の違い", "@language": "ja"}, {"@value": "Textus Samples 01.a: Invocation Source", "@language": "en"}, "Textus Samples 01.a: 呼び出し元の違い"],
      "schema:relatedLink": {"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-launchers-install"},
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-launchers-install"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "dcterms:modified": "2026-07-13",
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-launchers-install"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "smorg:summary": [{"@value": "01.a-invocation-source-lab は、同じ minimal.main.hello selector を保ったまま、Component の読み込み元を development directory と component repository で切り替えて確認するサンプルです。", "@language": "ja"}, {"@value": "01.a-invocation-source-lab shows how the same minimal.main.hello selector can be used while switching the Component source between a development directory and a component repository.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/component-based-development/cncf-samples-01a-invocation-source.html"}, {"@id": "https://www.simplemodeling.org/en/component-based-development/cncf-samples-01a-invocation-source.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-launchers-install"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "dcterms:date": "2026-07-13",
      "schema:description": [{"@value": "01.a-invocation-source-lab は、同じ minimal.main.hello selector を保ったまま、Component の読み込み元を development directory と component repository で切り替えて確認するサンプルです。", "@language": "ja"}, {"@value": "01.a-invocation-source-lab shows how the same minimal.main.hello selector can be used while switching the Component source between a development directory and a component repository.", "@language": "en"}],
      "smorg:brief": [{"@value": "01.a-invocation-source-lab は、同じ minimal.main.hello selector を保ったまま、Component の読み込み元を development directory と component repository で切り替えて確認するサンプルです。", "@language": "ja"}, {"@value": "01.a-invocation-source-lab shows how the same minimal.main.hello selector can be used while switching the Component source between a development directory and a component repository.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-02-component-packaging",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "Textus Samples 02:Component Packaging", "@language": "ja"}, {"@value": "Textus Samples 02:Component Packaging", "@language": "en"}, "Textus Samples 02:Component Packaging"],
      "schema:relatedLink": {"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-launchers-install"},
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-launchers-install"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "dcterms:modified": "2026-07-13",
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-launchers-install"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "smorg:summary": [{"@value": "02-component 系では、Textus component を開発中 project から packaged artifact へ進める基本手順を確認します。", "@language": "ja"}, {"@value": "The 02-component family shows the basic development step from an in-development Textus component project to a packaged artifact.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/component-based-development/cncf-samples-02-component-packaging.html"}, {"@id": "https://www.simplemodeling.org/en/component-based-development/cncf-samples-02-component-packaging.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-launchers-install"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "dcterms:date": "2026-07-06",
      "schema:description": [{"@value": "02-component 系では、Textus component を開発中 project から packaged artifact へ進める基本手順を確認します。", "@language": "ja"}, {"@value": "The 02-component family shows the basic development step from an in-development Textus component project to a packaged artifact.", "@language": "en"}],
      "smorg:brief": [{"@value": "02-component 系では、Textus component を開発中 project から packaged artifact へ進める基本手順を確認します。", "@language": "ja"}, {"@value": "The 02-component family shows the basic development step from an in-development Textus component project to a packaged artifact.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-launchers-install",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "Textus Samples: Launcherとインストール", "@language": "ja"}, {"@value": "Textus Samples: Launchers and Installation", "@language": "en"}, "Textus Samples: Launcherとインストール"],
      "schema:relatedLink": {"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-01-minimal"},
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-01-minimal"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "dcterms:modified": "2026-07-13",
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-01-minimal"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "smorg:summary": [{"@value": "本記事では、textus-tutorial 0.1.3 を使って Textus component 開発手順を学ぶ前提として、Textus / Cozy Textus、内部エンジンである CNCF、そして cozy / cncf / textus launcher の役割を整理します。", "@language": "ja"}, {"@value": "This article explains the Textus / Cozy Textus product names, the internal CNCF engine, and the roles of the cozy, cncf, and textus launchers before learning Textus component development with textus-tutorial 0.1.3.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/component-based-development/cncf-samples-launchers-install.html"}, {"@id": "https://www.simplemodeling.org/en/component-based-development/cncf-samples-launchers-install.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/component-based-development/cncf-samples-01-minimal"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "dcterms:date": "2026-06-15",
      "schema:description": [{"@value": "本記事では、textus-tutorial 0.1.3 を使って Textus component 開発手順を学ぶ前提として、Textus / Cozy Textus、内部エンジンである CNCF、そして cozy / cncf / textus launcher の役割を整理します。", "@language": "ja"}, {"@value": "This article explains the Textus / Cozy Textus product names, the internal CNCF engine, and the roles of the cozy, cncf, and textus launchers before learning Textus component development with textus-tutorial 0.1.3.", "@language": "en"}],
      "smorg:brief": [{"@value": "本記事では、textus-tutorial 0.1.3 を使って Textus component 開発手順を学ぶ前提として、Textus / Cozy Textus、内部エンジンである CNCF、そして cozy / cncf / textus launcher の役割を整理します。", "@language": "ja"}, {"@value": "This article explains the Textus / Cozy Textus product names, the internal CNCF engine, and the roles of the cozy, cncf, and textus launchers before learning Textus component development with textus-tutorial 0.1.3.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/component-based-development/error-concept",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "エラー・コンセプト", "@language": "ja"}, {"@value": "Error Concept", "@language": "en"}, "エラー・コンセプト"],
      "smorg:summary": [{"@value": "SimpleModelingにおけるエラー概念と用語体系について整理します。", "@language": "ja"}, {"@value": "This article organizes the concepts and terminology of errors in SimpleModeling.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/component-based-development/error-concept.html"}, {"@id": "https://www.simplemodeling.org/en/component-based-development/error-concept.html"}],
      "dcterms:date": "2025-09-29",
      "schema:description": [{"@value": "SimpleModelingにおけるエラー概念と用語体系について整理します。", "@language": "ja"}, {"@value": "This article organizes the concepts and terminology of errors in SimpleModeling.", "@language": "en"}],
      "smorg:brief": [{"@value": "SimpleModelingにおけるエラー概念と用語体系について整理します。", "@language": "ja"}, {"@value": "This article organizes the concepts and terminology of errors in SimpleModeling.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/component-based-development/executable-specification",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "AI時代の動く仕様書", "@language": "ja"}, {"@value": "AI-Era Executable Specification", "@language": "en"}, "AI時代の動く仕様書"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/tdd"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/tdd"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/tdd"}],
      "smorg:summary": [{"@value": "動く仕様書は、単なるテストでも、実装を駆動するためのTDDでもありません。\nそれは、文章による仕様記述、分析・設計モデル、実装コードをつなぎ、人間とAIが「何が正しい仕様か」を実行によって合意するための中核的な成果物です。\n動く仕様書を中心に据えることで、分析モデルは実装に接地され、実装は意味的な裏付けを持つようになります。\n", "@language": "ja"}, {"@value": "A executable specification is neither merely a test nor simply TDD that drives implementation.\nIt connects written specifications, analysis and design models, and implementation code, serving as a core artifact through which humans and AI agree—by execution—on what the correct specification is.\nBy placing executable specifications at the center, analysis models become grounded in implementation, and implementation gains semantic justification.\n", "@language": "en"}],
      "smorg:headline": [{"@value": "AI and Humans Co-evolving a Executable Specification｜AIと人間が共に育てる「動く仕様書」", "@language": "ja"}, {"@value": "AI and Humans Co-evolving a Executable Specification｜AIと人間が共に育てる「動く仕様書」", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/component-based-development/executable-specification.html"}, {"@id": "https://www.simplemodeling.org/en/component-based-development/executable-specification.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/tdd"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/tdd"}],
      "dcterms:date": "2026-01-12",
      "schema:description": [{"@value": "動く仕様書は、単なるテストでも、実装を駆動するためのTDDでもありません。\nそれは、文章による仕様記述、分析・設計モデル、実装コードをつなぎ、人間とAIが「何が正しい仕様か」を実行によって合意するための中核的な成果物です。\n動く仕様書を中心に据えることで、分析モデルは実装に接地され、実装は意味的な裏付けを持つようになります。\n", "@language": "ja"}, {"@value": "A executable specification is neither merely a test nor simply TDD that drives implementation.\nIt connects written specifications, analysis and design models, and implementation code, serving as a core artifact through which humans and AI agree—by execution—on what the correct specification is.\nBy placing executable specifications at the center, analysis models become grounded in implementation, and implementation gains semantic justification.\n", "@language": "en"}],
      "smorg:brief": [{"@value": "AI時代のソフトウェア開発では、仕様・設計・実装を分断せず、相互に行き来しながら育てていく開発スタイルが重要になります。\n本記事では、動く仕様書（Executable Specification）を軸に、分析モデルのアップダウン、AIとのペア分析・ペア設計を含む SimpleModeling の実践的アプローチを整理します。\n", "@language": "ja"}, {"@value": "In the AI era of software development, it is essential to cultivate specifications, design, and implementation together without isolating them, allowing continuous movement between these activities.\nThis article organizes a practical SimpleModeling approach centered on executable specifications (Executable Specifications), including up-and-down movement of analysis models and pair analysis / pair design with AI.\n", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/component-based-development/semantic-message-flow-diagram",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "セマンティック・メッセージフロー図", "@language": "ja"}, {"@value": "Semantic Message Flow Diagram", "@language": "en"}, "セマンティック・メッセージフロー図"],
      "schema:relatedLink": {"@id": "https://www.simplemodeling.org/knowledge-development/ai-collaboration-architecture"},
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/knowledge-development/ai-collaboration-architecture"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"},
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/knowledge-development/ai-collaboration-architecture"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}],
      "smorg:summary": [{"@value": "セマンティック・メッセージフロー図は、制御フローとデータフローを単一のフロー記号で統合的に表現するための図法です。システム内部の振る舞いと情報伝播の両面を一つの因果線で示し、アーキテクチャ記述やロバストネス図の拡張などに利用できます。\n", "@language": "ja"}, {"@value": "The Semantic Message Flow Diagram is a diagramming method that integrates control flow and data flow using a single flow notation. It represents both system-internal behavior and information propagation with a unified causal line, and can be used for architectural descriptions and extensions of robustness diagrams.\n", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/component-based-development/semantic-message-flow-diagram.html"}, {"@id": "https://www.simplemodeling.org/en/component-based-development/semantic-message-flow-diagram.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/knowledge-development/ai-collaboration-architecture"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}],
      "http://www.w3.org/2004/02/skos/core#example": {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"},
      "dcterms:date": "2025-11-17",
      "schema:description": [{"@value": "セマンティック・メッセージフロー図は、制御フローとデータフローを単一のフロー記号で統合的に表現するための図法です。システム内部の振る舞いと情報伝播の両面を一つの因果線で示し、アーキテクチャ記述やロバストネス図の拡張などに利用できます。\n", "@language": "ja"}, {"@value": "The Semantic Message Flow Diagram is a diagramming method that integrates control flow and data flow using a single flow notation. It represents both system-internal behavior and information propagation with a unified causal line, and can be used for architectural descriptions and extensions of robustness diagrams.\n", "@language": "en"}],
      "smorg:brief": [{"@value": "セマンティック・メッセージフロー図は、制御フローとデータフローを単一のフロー記号で統合的に表現するための図法です。システム内部の振る舞いと情報伝播の両面を一つの因果線で示し、アーキテクチャ記述やロバストネス図の拡張などに利用できます。\n", "@language": "ja"}, {"@value": "The Semantic Message Flow Diagram is a diagramming method that integrates control flow and data flow using a single flow notation. It represents both system-internal behavior and information propagation with a unified causal line, and can be used for architectural descriptions and extensions of robustness diagrams.\n", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/development-process/ai-development-harness",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "AI開発ハーネス — AI駆動開発を実用にする", "@language": "ja"}, {"@value": "AI Development Harness", "@language": "en"}, "AI開発ハーネス — AI駆動開発を実用にする"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}],
      "smorg:summary": [{"@value": "AI開発ハーネスは、AIによる解釈・探索・補完を、モデル、アーキテクチャ、実行、検証などソフトウェア工学の成果と結び付ける仕組みです。AIが補った判断を明示して確かめ、採用された意味をプログラムとランタイムで実行します。連載では異なるハーネスを組み合わせ、AIの新しい応用と開発の速さを業務アプリケーション級の開発へつなぐ方法を示します。", "@language": "ja"}, {"@value": "An AI Development Harness connects AI interpretation, exploration, and completion with the results of software engineering, including models, architecture, execution, and verification. It makes the judgments supplied by AI explicit and verifiable, then executes the adopted meaning through programs and runtimes. The series shows how different harnesses can be combined to bring new AI applications and development speed to business-application-scale development.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/development-process/ai-development-harness.html"}, {"@id": "https://www.simplemodeling.org/en/development-process/ai-development-harness.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}],
      "dcterms:date": "2026-09-21",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/development-process/ai-development.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/harness-engineering.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/model-driven-development.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/simplemodeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/software-development-methodology.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/textus.html"}],
      "schema:description": [{"@value": "AI開発ハーネスは、AIによる解釈・探索・補完を、モデル、アーキテクチャ、実行、検証などソフトウェア工学の成果と結び付ける仕組みです。AIが補った判断を明示して確かめ、採用された意味をプログラムとランタイムで実行します。連載では異なるハーネスを組み合わせ、AIの新しい応用と開発の速さを業務アプリケーション級の開発へつなぐ方法を示します。", "@language": "ja"}, {"@value": "An AI Development Harness connects AI interpretation, exploration, and completion with the results of software engineering, including models, architecture, execution, and verification. It makes the judgments supplied by AI explicit and verifiable, then executes the adopted meaning through programs and runtimes. The series shows how different harnesses can be combined to bring new AI applications and development speed to business-application-scale development.", "@language": "en"}],
      "smorg:brief": [{"@value": "AI開発ハーネスは、AIによる解釈・探索・補完を、モデル、アーキテクチャ、実行、検証などソフトウェア工学の成果と結び付ける仕組みです。AIが補った判断を明示して確かめ、採用された意味をプログラムとランタイムで実行します。連載では異なるハーネスを組み合わせ、AIの新しい応用と開発の速さを業務アプリケーション級の開発へつなぐ方法を示します。", "@language": "ja"}, {"@value": "An AI Development Harness connects AI interpretation, exploration, and completion with the results of software engineering, including models, architecture, execution, and verification. It makes the judgments supplied by AI explicit and verifiable, then executes the adopted meaning through programs and runtimes. The series shows how different harnesses can be combined to bring new AI applications and development speed to business-application-scale development.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/development-process/application-modeling",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "アプリケーション・モデリング", "@language": "ja"}, {"@value": "Application Modeling", "@language": "en"}, "アプリケーション・モデリング"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}],
      "smorg:summary": [{"@value": "ドメイン・モデルとアプリケーション・モデルは、同じ対象世界を異なる目的と関心から捉えます。対象世界の理解を蓄積するドメイン・モデルを、ニーズごとのアプリケーション・モデルから利用します。ユースケースシナリオを協調や相互作用によって具体化し、サービスやオペレーションへの対応を確認して、承認した実行可能モデルをCMLで記述します。", "@language": "ja"}, {"@value": "Domain Models and Application Models view the same subject world through different purposes and concerns. Applications for different needs use a Domain Model that accumulates understanding of the subject world. Use Case Scenarios are made concrete through Collaborations and Interactions. We review their mappings to Services and Operations and describe the approved executable Model in CML.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/development-process/application-modeling.html"}, {"@id": "https://www.simplemodeling.org/en/development-process/application-modeling.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}],
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      "dcterms:date": "2026-09-14",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/development-process/application-modeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/cml.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/model-driven-development.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/simplemodeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/software-development-methodology.html"}],
      "schema:description": [{"@value": "ドメイン・モデルとアプリケーション・モデルは、同じ対象世界を異なる目的と関心から捉えます。対象世界の理解を蓄積するドメイン・モデルを、ニーズごとのアプリケーション・モデルから利用します。ユースケースシナリオを協調や相互作用によって具体化し、サービスやオペレーションへの対応を確認して、承認した実行可能モデルをCMLで記述します。", "@language": "ja"}, {"@value": "Domain Models and Application Models view the same subject world through different purposes and concerns. Applications for different needs use a Domain Model that accumulates understanding of the subject world. Use Case Scenarios are made concrete through Collaborations and Interactions. We review their mappings to Services and Operations and describe the approved executable Model in CML.", "@language": "en"}],
      "smorg:brief": [{"@value": "ドメイン・モデルとアプリケーション・モデルは、同じ対象世界を異なる目的と関心から捉えます。対象世界の理解を蓄積するドメイン・モデルを、ニーズごとのアプリケーション・モデルから利用します。ユースケースシナリオを協調や相互作用によって具体化し、サービスやオペレーションへの対応を確認して、承認した実行可能モデルをCMLで記述します。", "@language": "ja"}, {"@value": "Domain Models and Application Models view the same subject world through different purposes and concerns. Applications for different needs use a Domain Model that accumulates understanding of the subject world. Use Case Scenarios are made concrete through Collaborations and Interactions. We review their mappings to Services and Operations and describe the approved executable Model in CML.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/development-process/architecture-centric-simplemodeling",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "SimpleModelingにおけるアーキテクチャセントリック", "@language": "ja"}, {"@value": "Architecture-Centric in SimpleModeling", "@language": "en"}, "SimpleModelingにおけるアーキテクチャセントリック"],
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      "dcterms:references": [{"@id": "https://www.simplemodeling.org/blog/developmentprocess-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/reinterpreting-up-ai"}, {"@id": "https://www.simplemodeling.org/development-process/simplemodeling-development-process-essence"}, {"@id": "https://www.simplemodeling.org/marulabo/ooadlecture"}, {"@id": "https://www.simplemodeling.org/overview/purpose"}, {"@id": "https://www.simplemodeling.org/blog/cozy-method"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-cncf"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-helloworld"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-component-helloworld"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-authorization-model"}, {"@id": "https://www.simplemodeling.org/object-functional-programming/scala-literal-mdd"}, {"@id": "https://www.simplemodeling.org/blog/dsl-ai"}, {"@id": "https://www.simplemodeling.org/blog/cbd-ai"}, {"@id": "https://www.simplemodeling.org/literate-modeling/what-is-literate-model"}, {"@id": "https://www.simplemodeling.org/blog/glossary-feature"}, {"@id": "https://www.simplemodeling.org/domain-modeling/concept-analysis-design"}, {"@id": "https://www.simplemodeling.org/domain-modeling/base-datatype-profile"}, {"@id": "https://www.simplemodeling.org/domain-modeling/domain-model-elements"}, {"@id": "https://www.simplemodeling.org/domain-modeling/analysis-design-entity"}, {"@id": "https://www.simplemodeling.org/domain-modeling/simple-object"}, {"@id": "https://www.simplemodeling.org/component-based-development/error-concept"}, {"@id": "https://www.simplemodeling.org/literate-modeling/cml-sample-address"}, {"@id": "https://www.simplemodeling.org/overview/bok-building"}, {"@id": "https://www.simplemodeling.org/knowledge-development/ai-collaboration-architecture"}, {"@id": "https://www.simplemodeling.org/knowledge-development/ai-knowledge-architecture"}, {"@id": "https://www.simplemodeling.org/blog/sm-knowledge-graph"}, {"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-vscode"}, {"@id": "https://www.simplemodeling.org/blog/sm-cli-rest"}, {"@id": "https://www.simplemodeling.org/knowledge-development/onefive-hop-plus"}, {"@id": "https://www.simplemodeling.org/knowledge-development/knowledge-processing-in-simplemodeling"}, {"@id": "https://www.simplemodeling.org/development-process/meta-development-system-framework"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-process"}, {"@id": "https://www.simplemodeling.org/development-process/simplemodeling-up-skill"}, {"@id": "https://www.simplemodeling.org/component-based-development/executable-specification"}, {"@id": "https://www.simplemodeling.org/blog/harness-enginnering-in-simplemodeling"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "smorg:summary": [{"@value": "SimpleModelingは、Unified Processに由来するアーキテクチャセントリックなアプローチを採用しています。アーキテクチャは単なる設計成果物ではなく、要求・分析・設計・実装・運用を統合する構造として扱われます。開発初期からアーキテクチャビューを利用することで、モデル全体の整合性・分析容易性・AI適合性を高めます。", "@language": "ja"}, {"@value": "SimpleModeling adopts an architecture-centric approach derived from the Unified Process. Architecture is treated not merely as a design artifact, but as the organizing structure that guides requirements, analysis, design, implementation, and operation. By applying architectural viewpoints from the earliest stages, models become more coherent, analyzable, and AI-friendly.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/development-process/architecture-centric-simplemodeling.html"}, {"@id": "https://www.simplemodeling.org/en/development-process/architecture-centric-simplemodeling.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/blog/developmentprocess-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-era"}, {"@id": "https://www.simplemodeling.org/blog/reinterpreting-up-ai"}, {"@id": "https://www.simplemodeling.org/development-process/simplemodeling-development-process-essence"}, {"@id": "https://www.simplemodeling.org/marulabo/ooadlecture"}, {"@id": "https://www.simplemodeling.org/overview/purpose"}, {"@id": "https://www.simplemodeling.org/blog/cozy-method"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-cncf"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-helloworld"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-component-helloworld"}, {"@id": "https://www.simplemodeling.org/component-based-development/cncf-authorization-model"}, {"@id": "https://www.simplemodeling.org/object-functional-programming/scala-literal-mdd"}, {"@id": "https://www.simplemodeling.org/blog/dsl-ai"}, {"@id": "https://www.simplemodeling.org/blog/cbd-ai"}, {"@id": "https://www.simplemodeling.org/literate-modeling/what-is-literate-model"}, {"@id": "https://www.simplemodeling.org/blog/glossary-feature"}, {"@id": "https://www.simplemodeling.org/domain-modeling/concept-analysis-design"}, {"@id": "https://www.simplemodeling.org/domain-modeling/base-datatype-profile"}, {"@id": "https://www.simplemodeling.org/domain-modeling/domain-model-elements"}, {"@id": "https://www.simplemodeling.org/domain-modeling/analysis-design-entity"}, {"@id": "https://www.simplemodeling.org/domain-modeling/simple-object"}, {"@id": "https://www.simplemodeling.org/component-based-development/error-concept"}, {"@id": "https://www.simplemodeling.org/literate-modeling/cml-sample-address"}, {"@id": "https://www.simplemodeling.org/overview/bok-building"}, {"@id": "https://www.simplemodeling.org/knowledge-development/ai-collaboration-architecture"}, {"@id": "https://www.simplemodeling.org/knowledge-development/ai-knowledge-architecture"}, {"@id": "https://www.simplemodeling.org/blog/sm-knowledge-graph"}, {"@id": "https://www.simplemodeling.org/blog/sm-rag-mcp"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-chatgpt"}, {"@id": "https://www.simplemodeling.org/blog/sm-mcp-vscode"}, {"@id": "https://www.simplemodeling.org/blog/sm-cli-rest"}, {"@id": "https://www.simplemodeling.org/knowledge-development/onefive-hop-plus"}, {"@id": "https://www.simplemodeling.org/knowledge-development/knowledge-processing-in-simplemodeling"}, {"@id": "https://www.simplemodeling.org/development-process/meta-development-system-framework"}, {"@id": "https://www.simplemodeling.org/blog/up-for-ai-cbd-process"}, {"@id": "https://www.simplemodeling.org/development-process/simplemodeling-up-skill"}, {"@id": "https://www.simplemodeling.org/component-based-development/executable-specification"}, {"@id": "https://www.simplemodeling.org/blog/harness-enginnering-in-simplemodeling"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
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      "dcterms:date": "2026-05-11",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/development-process/4-1view.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/architecture.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/process.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/simplemodeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/up.html"}],
      "schema:description": [{"@value": "SimpleModelingは、Unified Processに由来するアーキテクチャセントリックなアプローチを採用しています。アーキテクチャは単なる設計成果物ではなく、要求・分析・設計・実装・運用を統合する構造として扱われます。開発初期からアーキテクチャビューを利用することで、モデル全体の整合性・分析容易性・AI適合性を高めます。", "@language": "ja"}, {"@value": "SimpleModeling adopts an architecture-centric approach derived from the Unified Process. Architecture is treated not merely as a design artifact, but as the organizing structure that guides requirements, analysis, design, implementation, and operation. By applying architectural viewpoints from the earliest stages, models become more coherent, analyzable, and AI-friendly.", "@language": "en"}],
      "smorg:brief": [{"@value": "SimpleModelingは、Unified Processに由来するアーキテクチャセントリックなアプローチを採用しています。アーキテクチャは単なる設計成果物ではなく、要求・分析・設計・実装・運用を統合する構造として扱われます。開発初期からアーキテクチャビューを利用することで、モデル全体の整合性・分析容易性・AI適合性を高めます。", "@language": "ja"}, {"@value": "SimpleModeling adopts an architecture-centric approach derived from the Unified Process. Architecture is treated not merely as a design artifact, but as the organizing structure that guides requirements, analysis, design, implementation, and operation. By applying architectural viewpoints from the earliest stages, models become more coherent, analyzable, and AI-friendly.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/development-process/architecture-harness",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "アーキテクチャ・ハーネス", "@language": "ja"}, {"@value": "Architecture Harness", "@language": "en"}, "アーキテクチャ・ハーネス"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "smorg:summary": [{"@value": "ソフトウェアのアーキテクチャは、求める機能と品質を実現するために、システムを構成する仕組み、その役割、組合せ方を定める基本設計です。SimpleModelingは、ドメイン知識に近い抽象度でソフトウェアを記述し、そのモデルを開発と実行の基盤にするリファレンス・アーキテクチャを提供します。本稿では、連載全10回で扱う技術をこの全体像に位置付け、必要な品質を確保しながら開発速度の向上とAIコストの低減を図る組合せを説明します。開発から実行まで何重もの歯止めを配置するこの設計が、AI開発のアーキテクチャ・ハーネスとしても機能します。\n", "@language": "ja"}, {"@value": "ソフトウェアのアーキテクチャは、求める機能と品質を実現するために、システムを構成する仕組み、その役割、組合せ方を定める基本設計です。SimpleModelingは、ドメイン知識に近い抽象度でソフトウェアを記述し、そのモデルを開発と実行の基盤にするリファレンス・アーキテクチャを提供します。本稿では、連載全10回で扱う技術をこの全体像に位置付け、必要な品質を確保しながら開発速度の向上とAIコストの低減を図る組合せを説明します。開発から実行まで何重もの歯止めを配置するこの設計が、AI開発のアーキテクチャ・ハーネスとしても機能します。\n", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/development-process/architecture-harness.html"}, {"@id": "https://www.simplemodeling.org/en/development-process/architecture-harness.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "dcterms:date": "2026-10-19",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/development-process/ai-development-harness.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/cbd.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/model-driven-development.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/reference-architecture.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/scala.html"}],
      "schema:description": [{"@value": "ソフトウェアのアーキテクチャは、求める機能と品質を実現するために、システムを構成する仕組み、その役割、組合せ方を定める基本設計です。SimpleModelingは、ドメイン知識に近い抽象度でソフトウェアを記述し、そのモデルを開発と実行の基盤にするリファレンス・アーキテクチャを提供します。本稿では、連載全10回で扱う技術をこの全体像に位置付け、必要な品質を確保しながら開発速度の向上とAIコストの低減を図る組合せを説明します。開発から実行まで何重もの歯止めを配置するこの設計が、AI開発のアーキテクチャ・ハーネスとしても機能します。\n", "@language": "ja"}, {"@value": "ソフトウェアのアーキテクチャは、求める機能と品質を実現するために、システムを構成する仕組み、その役割、組合せ方を定める基本設計です。SimpleModelingは、ドメイン知識に近い抽象度でソフトウェアを記述し、そのモデルを開発と実行の基盤にするリファレンス・アーキテクチャを提供します。本稿では、連載全10回で扱う技術をこの全体像に位置付け、必要な品質を確保しながら開発速度の向上とAIコストの低減を図る組合せを説明します。開発から実行まで何重もの歯止めを配置するこの設計が、AI開発のアーキテクチャ・ハーネスとしても機能します。\n", "@language": "en"}],
      "smorg:brief": [{"@value": "ソフトウェアのアーキテクチャは、求める機能と品質を実現するために、システムを構成する仕組み、その役割、組合せ方を定める基本設計です。SimpleModelingは、ドメイン知識に近い抽象度でソフトウェアを記述し、そのモデルを開発と実行の基盤にするリファレンス・アーキテクチャを提供します。本稿では、連載全10回で扱う技術をこの全体像に位置付け、必要な品質を確保しながら開発速度の向上とAIコストの低減を図る組合せを説明します。開発から実行まで何重もの歯止めを配置するこの設計が、AI開発のアーキテクチャ・ハーネスとしても機能します。\n", "@language": "ja"}, {"@value": "ソフトウェアのアーキテクチャは、求める機能と品質を実現するために、システムを構成する仕組み、その役割、組合せ方を定める基本設計です。SimpleModelingは、ドメイン知識に近い抽象度でソフトウェアを記述し、そのモデルを開発と実行の基盤にするリファレンス・アーキテクチャを提供します。本稿では、連載全10回で扱う技術をこの全体像に位置付け、必要な品質を確保しながら開発速度の向上とAIコストの低減を図る組合せを説明します。開発から実行まで何重もの歯止めを配置するこの設計が、AI開発のアーキテクチャ・ハーネスとしても機能します。\n", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/development-process/domain-modeling",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "ドメイン・モデリング", "@language": "ja"}, {"@value": "Domain Modeling", "@language": "en"}, "ドメイン・モデリング"],
      "smorg:summary": [{"@value": "第8回は、用語と概念を出発点に、コンテキスト、境界づけられたコンテキスト、ユビキタス言語を使って問題領域を分割し、オブジェクト・モデル、知識モデル、文芸モデルから一つのドメイン・モデルを組織する方法を扱います。SimpleModelingでは、生成AIがtextus-bokを通して文芸情報と知識モデルを参照し、オブジェクト・モデルを主として生成、更新します。開発者はtextus-cbd-supportが提供する可視化、差分、根拠、影響範囲、検証情報を使ってモデルをレビューし、フィードバックを生成AIへ返します。この反復的な開発ループによってモデルの妥当性を高めます。", "@language": "ja"}, {"@value": "Part 8 starts with terms and concepts, then uses Contexts, Bounded Contexts, and Ubiquitous Language to partition the problem domain and organize a Domain Model from the Object Model, Knowledge Model, and Literate Model. In SimpleModeling, generative AI consults literate information and the Knowledge Model through textus-bok, primarily generating and updating the Object Model. Developers use the visualization, diffs, evidence, impact information, and validation results provided by textus-cbd-support to review the Model and return feedback to generative AI. This iterative development loop improves the Model&apos;s validity.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/development-process/domain-modeling.html"}, {"@id": "https://www.simplemodeling.org/en/development-process/domain-modeling.html"}],
      "dcterms:date": "2026-09-07",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/development-process/bounded-context.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/context.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/domain-model.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/domain-modeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/generative-ai.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/glossary.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/knowledge-model.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/literate-model.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/object-model.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/software-development-methodology.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/ubiquitous-language.html"}],
      "schema:description": [{"@value": "第8回は、用語と概念を出発点に、コンテキスト、境界づけられたコンテキスト、ユビキタス言語を使って問題領域を分割し、オブジェクト・モデル、知識モデル、文芸モデルから一つのドメイン・モデルを組織する方法を扱います。SimpleModelingでは、生成AIがtextus-bokを通して文芸情報と知識モデルを参照し、オブジェクト・モデルを主として生成、更新します。開発者はtextus-cbd-supportが提供する可視化、差分、根拠、影響範囲、検証情報を使ってモデルをレビューし、フィードバックを生成AIへ返します。この反復的な開発ループによってモデルの妥当性を高めます。", "@language": "ja"}, {"@value": "Part 8 starts with terms and concepts, then uses Contexts, Bounded Contexts, and Ubiquitous Language to partition the problem domain and organize a Domain Model from the Object Model, Knowledge Model, and Literate Model. In SimpleModeling, generative AI consults literate information and the Knowledge Model through textus-bok, primarily generating and updating the Object Model. Developers use the visualization, diffs, evidence, impact information, and validation results provided by textus-cbd-support to review the Model and return feedback to generative AI. This iterative development loop improves the Model&apos;s validity.", "@language": "en"}],
      "smorg:brief": [{"@value": "第8回は、用語と概念を出発点に、コンテキスト、境界づけられたコンテキスト、ユビキタス言語を使って問題領域を分割し、オブジェクト・モデル、知識モデル、文芸モデルから一つのドメイン・モデルを組織する方法を扱います。SimpleModelingでは、生成AIがtextus-bokを通して文芸情報と知識モデルを参照し、オブジェクト・モデルを主として生成、更新します。開発者はtextus-cbd-supportが提供する可視化、差分、根拠、影響範囲、検証情報を使ってモデルをレビューし、フィードバックを生成AIへ返します。この反復的な開発ループによってモデルの妥当性を高めます。", "@language": "ja"}, {"@value": "Part 8 starts with terms and concepts, then uses Contexts, Bounded Contexts, and Ubiquitous Language to partition the problem domain and organize a Domain Model from the Object Model, Knowledge Model, and Literate Model. In SimpleModeling, generative AI consults literate information and the Knowledge Model through textus-bok, primarily generating and updating the Object Model. Developers use the visualization, diffs, evidence, impact information, and validation results provided by textus-cbd-support to review the Model and return feedback to generative AI. This iterative development loop improves the Model&apos;s validity.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/development-process/dynamic-model-harness",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "動的モデル・ハーネス — 業務の振る舞いを記述する", "@language": "ja"}, {"@value": "Dynamic Model Harness — Describing Business Behavior", "@language": "en"}, "動的モデル・ハーネス — 業務の振る舞いを記述する"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}],
      "smorg:summary": [{"@value": "SimpleModelingの動的モデル・ハーネスは、モデル駆動開発の検査・実行基盤を使い、ソフトウェアの振る舞いとAIによる生成・変更を制約する枠組みです。処理の順序、状態遷移、失敗時の対応は、通常のプログラミングでも誤りが生じやすく、モデルで定義して動かすこと自体に価値があります。AI開発では、それに加えて、手続型コードに業務規則を埋め込む生成や、要求から外れた変更を抑えることが重要になります。本稿では、CML・Textusによるワークフローと状態機械の検査・直接実行、および要求モデルと実現モデルの接続を通じたハーネスを説明します。「モデル＝AI時代のプログラム」を、この枠組みによって実現します。\n", "@language": "ja"}, {"@value": "SimpleModeling's Dynamic Model Harness uses the checking and execution infrastructure of Model-Driven Development to constrain software behavior and AI-generated changes. Processing order, state transitions, and failure handling are error-prone even in conventional programming, so defining and executing them as models has value in its own right. AI development adds the need to control generated procedural code that embeds business rules and changes that diverge from requirements. This article explains the harness through checking and direct execution of workflows and state machines in CML and Textus, and through connections between requirements and realization models. This framework makes models serve as programs in the AI era.\n", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/development-process/dynamic-model-harness.html"}, {"@id": "https://www.simplemodeling.org/en/development-process/dynamic-model-harness.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}],
      "dcterms:date": "2026-10-12",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/development-process/ai-development-harness.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/dynamic-model.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/state-machine.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/use-case.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/workflow.html"}],
      "schema:description": [{"@value": "SimpleModelingの動的モデル・ハーネスは、モデル駆動開発の検査・実行基盤を使い、ソフトウェアの振る舞いとAIによる生成・変更を制約する枠組みです。処理の順序、状態遷移、失敗時の対応は、通常のプログラミングでも誤りが生じやすく、モデルで定義して動かすこと自体に価値があります。AI開発では、それに加えて、手続型コードに業務規則を埋め込む生成や、要求から外れた変更を抑えることが重要になります。本稿では、CML・Textusによるワークフローと状態機械の検査・直接実行、および要求モデルと実現モデルの接続を通じたハーネスを説明します。「モデル＝AI時代のプログラム」を、この枠組みによって実現します。\n", "@language": "ja"}, {"@value": "SimpleModeling's Dynamic Model Harness uses the checking and execution infrastructure of Model-Driven Development to constrain software behavior and AI-generated changes. Processing order, state transitions, and failure handling are error-prone even in conventional programming, so defining and executing them as models has value in its own right. AI development adds the need to control generated procedural code that embeds business rules and changes that diverge from requirements. This article explains the harness through checking and direct execution of workflows and state machines in CML and Textus, and through connections between requirements and realization models. This framework makes models serve as programs in the AI era.\n", "@language": "en"}],
      "smorg:brief": [{"@value": "SimpleModelingの動的モデル・ハーネスは、モデル駆動開発の検査・実行基盤を使い、ソフトウェアの振る舞いとAIによる生成・変更を制約する枠組みです。処理の順序、状態遷移、失敗時の対応は、通常のプログラミングでも誤りが生じやすく、モデルで定義して動かすこと自体に価値があります。AI開発では、それに加えて、手続型コードに業務規則を埋め込む生成や、要求から外れた変更を抑えることが重要になります。本稿では、CML・Textusによるワークフローと状態機械の検査・直接実行、および要求モデルと実現モデルの接続を通じたハーネスを説明します。「モデル＝AI時代のプログラム」を、この枠組みによって実現します。\n", "@language": "ja"}, {"@value": "SimpleModeling's Dynamic Model Harness uses the checking and execution infrastructure of Model-Driven Development to constrain software behavior and AI-generated changes. Processing order, state transitions, and failure handling are error-prone even in conventional programming, so defining and executing them as models has value in its own right. AI development adds the need to control generated procedural code that embeds business rules and changes that diverge from requirements. This article explains the harness through checking and direct execution of workflows and state machines in CML and Textus, and through connections between requirements and realization models. This framework makes models serve as programs in the AI era.\n", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/development-process/knowledge-modeling-for-ai-collaboration",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "AI協業を支える知識モデリング", "@language": "ja"}, {"@value": "Knowledge Modeling for AI Collaboration", "@language": "en"}, "AI協業を支える知識モデリング"],
      "schema:relatedLink": {"@id": "https://www.simplemodeling.org/development-process/object-modeling-as-structural-foundation"},
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/development-process/object-modeling-as-structural-foundation"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/iri"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/iri"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/development-process/object-modeling-as-structural-foundation"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/iri"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}],
      "smorg:summary": [{"@value": "知識モデルは、CMLによるモデル定義、ドメイン・モデルのレビュー、ユースケース・モデルの作成とレビュー、ドメイン理解のための問い合わせを支えるSimpleModelingモデルの構成要素です。用語集に定義された用語が、オブジェクト・モデル、知識モデル、文芸モデルに現れる同じ概念を対応付けます。生成AIは候補と説明を提示し、人間は意味と根拠を承認します。", "@language": "ja"}, {"@value": "A Knowledge Model is a constituent of a SimpleModeling Model that supports defining Models through CML, reviewing a Domain Model, creating and reviewing a Use Case Model, and answering inquiries for Domain understanding. Terms defined in the Glossary map occurrences of the same concept across Object, Knowledge, and Literate Models. Generative AI presents candidates and explanations; people approve their meaning and evidence.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/development-process/knowledge-modeling-for-ai-collaboration.html"}, {"@id": "https://www.simplemodeling.org/en/development-process/knowledge-modeling-for-ai-collaboration.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/development-process/object-modeling-as-structural-foundation"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/iri"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/iri"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}],
      "dcterms:date": "2026-08-24",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/development-process/embedding.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/generative-ai.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/glossary.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/knowledge-graph.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/knowledge-model.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/knowledge-modeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/mcp.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/ontology.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/rag.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/rdf.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/software-development-methodology.html"}],
      "schema:description": [{"@value": "知識モデルは、CMLによるモデル定義、ドメイン・モデルのレビュー、ユースケース・モデルの作成とレビュー、ドメイン理解のための問い合わせを支えるSimpleModelingモデルの構成要素です。用語集に定義された用語が、オブジェクト・モデル、知識モデル、文芸モデルに現れる同じ概念を対応付けます。生成AIは候補と説明を提示し、人間は意味と根拠を承認します。", "@language": "ja"}, {"@value": "A Knowledge Model is a constituent of a SimpleModeling Model that supports defining Models through CML, reviewing a Domain Model, creating and reviewing a Use Case Model, and answering inquiries for Domain understanding. Terms defined in the Glossary map occurrences of the same concept across Object, Knowledge, and Literate Models. Generative AI presents candidates and explanations; people approve their meaning and evidence.", "@language": "en"}],
      "smorg:brief": [{"@value": "知識モデルは、CMLによるモデル定義、ドメイン・モデルのレビュー、ユースケース・モデルの作成とレビュー、ドメイン理解のための問い合わせを支えるSimpleModelingモデルの構成要素です。用語集に定義された用語が、オブジェクト・モデル、知識モデル、文芸モデルに現れる同じ概念を対応付けます。生成AIは候補と説明を提示し、人間は意味と根拠を承認します。", "@language": "ja"}, {"@value": "A Knowledge Model is a constituent of a SimpleModeling Model that supports defining Models through CML, reviewing a Domain Model, creating and reviewing a Use Case Model, and answering inquiries for Domain understanding. Terms defined in the Glossary map occurrences of the same concept across Object, Knowledge, and Literate Models. Generative AI presents candidates and explanations; people approve their meaning and evidence.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/development-process/literate-modeling",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "文芸モデリング", "@language": "ja"}, {"@value": "Literate Modeling", "@language": "en"}, "文芸モデリング"],
      "schema:relatedLink": {"@id": "https://www.simplemodeling.org/development-process/knowledge-modeling-for-ai-collaboration"},
      "schema:mentions": {"@id": "https://www.simplemodeling.org/development-process/knowledge-modeling-for-ai-collaboration"},
      "dcterms:references": {"@id": "https://www.simplemodeling.org/development-process/knowledge-modeling-for-ai-collaboration"},
      "smorg:summary": [{"@value": "文芸モデリングは、ストーリーをナラティブとして構成することを重要な形式としながら、ビジョン、要求、判断記録、既存仕様に加え、ドメイン・モデルの概念、規則、関係を自然言語で説明する従来型ドキュメントも、意味、識別子、モデル要素との対応を持つ文芸モデルとして組織する活動です。SmartDoxをフルスペックの基本記述言語とし、Markdownも利用できます。textus-bokが文芸モデルを知識モデル化して生成AIへ接続し、生成AIがオブジェクト・モデルを主として生成、更新、管理します。人間はtextus-cbd-supportが提供する可視化、差分、根拠によって結果をレビューし、承認または指摘を生成AIへ返します。また、文芸モデルを事実の正本として、要求仕様、ユーザーガイド、設計説明などのドキュメントを目的別に構成できます。", "@language": "ja"}, {"@value": "Literate Modeling treats organizing Stories as Narratives as an important form while also organizing Vision, requirements, decision records, existing specifications, and conventional documents that explain Domain Model concepts, rules, and relationships in natural language as Literate Models with explicit meanings, identities, and mappings to other Model elements. SmartDox is the full-spec primary description language, while Markdown is also allowed. textus-bok turns Literate Models into Knowledge Models and connects them to generative AI, which principally generates, updates, and manages the Object Model. People review the results through the visualizations, differences, and evidence provided by textus-cbd-support, then return approval or findings to the AI. Literate Models also serve as authoritative sources for facts from which requirements specifications, user guides, design explanations, and other purpose-specific documents can be composed.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/development-process/literate-modeling.html"}, {"@id": "https://www.simplemodeling.org/en/development-process/literate-modeling.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": {"@id": "https://www.simplemodeling.org/development-process/knowledge-modeling-for-ai-collaboration"},
      "dcterms:date": "2026-08-31",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/development-process/cml.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/generative-ai.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/literate-model.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/literate-modeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/narrative.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/requirements-modeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/smartdox.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/software-development-methodology.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/story.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/textus-bok.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/textus-cbd-support.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/use-case.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/use-case-scenario.html"}],
      "schema:description": [{"@value": "文芸モデリングは、ストーリーをナラティブとして構成することを重要な形式としながら、ビジョン、要求、判断記録、既存仕様に加え、ドメイン・モデルの概念、規則、関係を自然言語で説明する従来型ドキュメントも、意味、識別子、モデル要素との対応を持つ文芸モデルとして組織する活動です。SmartDoxをフルスペックの基本記述言語とし、Markdownも利用できます。textus-bokが文芸モデルを知識モデル化して生成AIへ接続し、生成AIがオブジェクト・モデルを主として生成、更新、管理します。人間はtextus-cbd-supportが提供する可視化、差分、根拠によって結果をレビューし、承認または指摘を生成AIへ返します。また、文芸モデルを事実の正本として、要求仕様、ユーザーガイド、設計説明などのドキュメントを目的別に構成できます。", "@language": "ja"}, {"@value": "Literate Modeling treats organizing Stories as Narratives as an important form while also organizing Vision, requirements, decision records, existing specifications, and conventional documents that explain Domain Model concepts, rules, and relationships in natural language as Literate Models with explicit meanings, identities, and mappings to other Model elements. SmartDox is the full-spec primary description language, while Markdown is also allowed. textus-bok turns Literate Models into Knowledge Models and connects them to generative AI, which principally generates, updates, and manages the Object Model. People review the results through the visualizations, differences, and evidence provided by textus-cbd-support, then return approval or findings to the AI. Literate Models also serve as authoritative sources for facts from which requirements specifications, user guides, design explanations, and other purpose-specific documents can be composed.", "@language": "en"}],
      "smorg:brief": [{"@value": "文芸モデリングは、ストーリーをナラティブとして構成することを重要な形式としながら、ビジョン、要求、判断記録、既存仕様に加え、ドメイン・モデルの概念、規則、関係を自然言語で説明する従来型ドキュメントも、意味、識別子、モデル要素との対応を持つ文芸モデルとして組織する活動です。SmartDoxをフルスペックの基本記述言語とし、Markdownも利用できます。textus-bokが文芸モデルを知識モデル化して生成AIへ接続し、生成AIがオブジェクト・モデルを主として生成、更新、管理します。人間はtextus-cbd-supportが提供する可視化、差分、根拠によって結果をレビューし、承認または指摘を生成AIへ返します。また、文芸モデルを事実の正本として、要求仕様、ユーザーガイド、設計説明などのドキュメントを目的別に構成できます。", "@language": "ja"}, {"@value": "Literate Modeling treats organizing Stories as Narratives as an important form while also organizing Vision, requirements, decision records, existing specifications, and conventional documents that explain Domain Model concepts, rules, and relationships in natural language as Literate Models with explicit meanings, identities, and mappings to other Model elements. SmartDox is the full-spec primary description language, while Markdown is also allowed. textus-bok turns Literate Models into Knowledge Models and connects them to generative AI, which principally generates, updates, and manages the Object Model. People review the results through the visualizations, differences, and evidence provided by textus-cbd-support, then return approval or findings to the AI. Literate Models also serve as authoritative sources for facts from which requirements specifications, user guides, design explanations, and other purpose-specific documents can be composed.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/development-process/meta-development-system-framework",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "メタ開発システム・フレームワーク", "@language": "ja"}, {"@value": "Meta Development System Framework", "@language": "en"}, "メタ開発システム・フレームワーク"],
      "schema:relatedLink": [{"@id": "https://www.simplemodeling.org/knowledge-development/ai-collaboration-architecture"}, {"@id": "https://www.simplemodeling.org/marulabo/ooadlecture"}],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/knowledge-development/ai-collaboration-architecture"}, {"@id": "https://www.simplemodeling.org/marulabo/ooadlecture"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/omg-essence"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/development-process/omg-essence"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}],
      "dcterms:modified": "2025-11-17",
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/knowledge-development/ai-collaboration-architecture"}, {"@id": "https://www.simplemodeling.org/marulabo/ooadlecture"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/omg-essence"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}],
      "smorg:summary": [{"@value": "本稿では、SimpleModelingが提案するメタ開発システム・フレームワークの構成と運用方法を解説します。これは文芸モデル駆動・知識駆動・AI支援を統合する開発基盤であり、開発の進め方を再利用可能な開発システムとしてモデル化します。", "@language": "ja"}, {"@value": "This article explains the structure and operation of the Meta Development System Framework proposed by SimpleModeling. It serves as an integrated development foundation combining Literate Model-Driven, Knowledge-Driven, and AI-Assisted approaches, modeling the way of development as a reusable development system.", "@language": "en"}],
      "smorg:headline": [{"@value": "開発システムそのものを設計し、知識駆動・AI支援の時代に適応するための上位枠組み。", "@language": "ja"}, {"@value": "A higher-level framework for designing the development system itself, enabling adaptation to the era of knowledge-driven and AI-assisted development.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/development-process/meta-development-system-framework.html"}, {"@id": "https://www.simplemodeling.org/en/development-process/meta-development-system-framework.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/knowledge-development/ai-collaboration-architecture"}, {"@id": "https://www.simplemodeling.org/marulabo/ooadlecture"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/omg-essence"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/development-process/omg-essence"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}],
      "dcterms:date": "2025-11-10",
      "schema:description": [{"@value": "本稿では、SimpleModelingが提案するメタ開発システム・フレームワークの構成と運用方法を解説します。これは文芸モデル駆動・知識駆動・AI支援を統合する開発基盤であり、開発の進め方を再利用可能な開発システムとしてモデル化します。", "@language": "ja"}, {"@value": "This article explains the structure and operation of the Meta Development System Framework proposed by SimpleModeling. It serves as an integrated development foundation combining Literate Model-Driven, Knowledge-Driven, and AI-Assisted approaches, modeling the way of development as a reusable development system.", "@language": "en"}],
      "smorg:brief": [{"@value": "メタ開発システム・フレームワークは、開発メソッド・プロセス・アーキテクチャを統合的に設計するための上位モデルです。知識モデリングとAI支援を含めた循環型開発の仕組みを定義し、開発システムが自己改善するための理論的基盤を提供します。", "@language": "ja"}, {"@value": "The Meta Development System Framework is a higher-level model for integratively designing development methods, processes, and architectures. It defines a cyclical development mechanism that includes knowledge modeling and AI assistance, providing a theoretical foundation for self-improving development systems.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/development-process/model-harness",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "モデル・ハーネス — モデルでソフトウェアを記述する", "@language": "ja"}, {"@value": "Model Harness — Describing Software as Models", "@language": "en"}, "モデル・ハーネス — モデルでソフトウェアを記述する"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "smorg:summary": [{"@value": "モデル・ハーネスは、ドメイン知識に近い表現でソフトウェアを記述し、処理系の検査と実行によって生成・変更を制約する基盤です。要求モデルとの対応を保持し、ソフトウェアが果たす目的も確認します。第3回では概念・関係・規則による静的な構造、第4回では状態機械を含む動的な振る舞いを具体化します。", "@language": "ja"}, {"@value": "The Model Harness describes software close to domain knowledge and constrains generation and change through processor checks and execution. Correspondence with requirements also supports checking the software&apos;s purpose. Part 3 develops static structure through concepts, relationships, and rules; Part 4 develops dynamic behavior, including state machines.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/development-process/model-harness.html"}, {"@id": "https://www.simplemodeling.org/en/development-process/model-harness.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "dcterms:date": "2026-09-28",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/development-process/ai-development.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/harness-engineering.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/model-driven-development.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/simplemodeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/textus.html"}],
      "schema:description": [{"@value": "モデル・ハーネスは、ドメイン知識に近い表現でソフトウェアを記述し、処理系の検査と実行によって生成・変更を制約する基盤です。要求モデルとの対応を保持し、ソフトウェアが果たす目的も確認します。第3回では概念・関係・規則による静的な構造、第4回では状態機械を含む動的な振る舞いを具体化します。", "@language": "ja"}, {"@value": "The Model Harness describes software close to domain knowledge and constrains generation and change through processor checks and execution. Correspondence with requirements also supports checking the software&apos;s purpose. Part 3 develops static structure through concepts, relationships, and rules; Part 4 develops dynamic behavior, including state machines.", "@language": "en"}],
      "smorg:brief": [{"@value": "モデル・ハーネスは、ドメイン知識に近い表現でソフトウェアを記述し、処理系の検査と実行によって生成・変更を制約する基盤です。要求モデルとの対応を保持し、ソフトウェアが果たす目的も確認します。第3回では概念・関係・規則による静的な構造、第4回では状態機械を含む動的な振る舞いを具体化します。", "@language": "ja"}, {"@value": "The Model Harness describes software close to domain knowledge and constrains generation and change through processor checks and execution. Correspondence with requirements also supports checking the software&apos;s purpose. Part 3 develops static structure through concepts, relationships, and rules; Part 4 develops dynamic behavior, including state machines.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/development-process/model-structure-and-views",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "Modelの構造とViewの活用", "@language": "ja"}, {"@value": "Model Structure and the Use of Views", "@language": "en"}, "Modelの構造とViewの活用"],
      "schema:relatedLink": [{"@id": "https://www.simplemodeling.org/development-process/modeling-technology-system"}, {"@id": "https://www.simplemodeling.org/development-process/what-simplemodeling-has-pursued"}, {"@id": "https://www.simplemodeling.org/development-process/architecture-centric-simplemodeling"}],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/development-process/modeling-technology-system"}, {"@id": "https://www.simplemodeling.org/development-process/what-simplemodeling-has-pursued"}, {"@id": "https://www.simplemodeling.org/development-process/architecture-centric-simplemodeling"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": {"@id": "https://www.simplemodeling.org/glossary/development-process/up"},
      "dcterms:modified": "2026-08-17",
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/development-process/modeling-technology-system"}, {"@id": "https://www.simplemodeling.org/development-process/what-simplemodeling-has-pursued"}, {"@id": "https://www.simplemodeling.org/development-process/architecture-centric-simplemodeling"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}],
      "smorg:summary": [{"@value": "第4回はModelを主題とし、Domain ModelとUse Case Modelを二つの軸にCapabilityとAspectを構成します。Object Modelを使って形式構造を具体的に説明し、複雑なModelはPurposeとConcernに応じたViewから理解・検証・利用します。", "@language": "ja"}, {"@value": "Part 4 takes the Model as its subject and composes Capabilities and Aspects through the Domain Model and Use Case Model axes. The Object Model makes the formal structure concrete, while purpose- and concern-selected Views support understanding, evaluating, and applying the complex Model.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/development-process/model-structure-and-views.html"}, {"@id": "https://www.simplemodeling.org/en/development-process/model-structure-and-views.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/development-process/modeling-technology-system"}, {"@id": "https://www.simplemodeling.org/development-process/what-simplemodeling-has-pursued"}, {"@id": "https://www.simplemodeling.org/development-process/architecture-centric-simplemodeling"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}],
      "http://www.w3.org/2004/02/skos/core#example": {"@id": "https://www.simplemodeling.org/glossary/development-process/up"},
      "dcterms:date": "2026-08-10",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/development-process/bounded-context.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/concern.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/modeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/perspective.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/projection.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/quality-attribute.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/software-development-methodology.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/use-case.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/view.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/viewpoint.html"}],
      "schema:description": [{"@value": "第4回はModelを主題とし、Domain ModelとUse Case Modelを二つの軸にCapabilityとAspectを構成します。Object Modelを使って形式構造を具体的に説明し、複雑なModelはPurposeとConcernに応じたViewから理解・検証・利用します。", "@language": "ja"}, {"@value": "Part 4 takes the Model as its subject and composes Capabilities and Aspects through the Domain Model and Use Case Model axes. The Object Model makes the formal structure concrete, while purpose- and concern-selected Views support understanding, evaluating, and applying the complex Model.", "@language": "en"}],
      "smorg:brief": [{"@value": "第4回はModelを主題とし、Domain ModelとUse Case Modelを二つの軸にCapabilityとAspectを構成します。Object Modelを使って形式構造を具体的に説明し、複雑なModelはPurposeとConcernに応じたViewから理解・検証・利用します。", "@language": "ja"}, {"@value": "Part 4 takes the Model as its subject and composes Capabilities and Aspects through the Domain Model and Use Case Model axes. The Object Model makes the formal structure concrete, while purpose- and concern-selected Views support understanding, evaluating, and applying the complex Model.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/development-process/modeling-technology-system",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "モデリング技術体系", "@language": "ja"}, {"@value": "Modeling Technology System", "@language": "en"}, "モデリング技術体系"],
      "schema:relatedLink": [{"@id": "https://www.simplemodeling.org/development-process/what-simplemodeling-has-pursued"}, {"@id": "https://www.simplemodeling.org/development-process/why-reconstruct-software-development-methodology"}, {"@id": "https://www.simplemodeling.org/development-process/simplemodeling-development-process-essence"}, {"@id": "https://www.simplemodeling.org/development-process/architecture-centric-simplemodeling"}],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/development-process/what-simplemodeling-has-pursued"}, {"@id": "https://www.simplemodeling.org/development-process/why-reconstruct-software-development-methodology"}, {"@id": "https://www.simplemodeling.org/development-process/simplemodeling-development-process-essence"}, {"@id": "https://www.simplemodeling.org/development-process/architecture-centric-simplemodeling"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "dcterms:modified": "2026-08-17",
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/development-process/what-simplemodeling-has-pursued"}, {"@id": "https://www.simplemodeling.org/development-process/why-reconstruct-software-development-methodology"}, {"@id": "https://www.simplemodeling.org/development-process/simplemodeling-development-process-essence"}, {"@id": "https://www.simplemodeling.org/development-process/architecture-centric-simplemodeling"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "smorg:summary": [{"@value": "Knowledge Systemは既存技術を収集、整理、分類し、理解のための地図を提供します。Software Development Methodologyは、その知識から必要な技術を選び、役割と利用方法を定め、開発実践を導きます。SimpleModelingモデルは、形式構造と実行例を担うObject Model、生成AI向けの知識構造を担うKnowledge Model、人間が理解できる文脈や意図を担うLiterate Modelから構成されます。Domain Modelingは問題領域の意味、構造、規則、境界に重点を置き、Application ModelingはUse Caseの実現、協調、相互作用、状態遷移、Event、Service、Operationに重点を置いて、三つの構成要素を目的別に組織します。Domain Modelingを完全に静的、Application Modelingをすべての動的要素の所有者とはしません。承認済みの実行可能な形式構造は、Model RealizationとしてCML、Cozy、AI、Textusを通じて実行可能ソフトウェアへ接続します。品質属性はモデル全体を横断する設計課題として扱います。", "@language": "ja"}, {"@value": "A Knowledge System collects, organizes, and classifies existing technologies and provides a map for understanding them. A Software Development Methodology selects the needed technologies from that knowledge, defines their roles and use, and guides practice. A SimpleModeling Model is composed of an Object Model for formal structure and execution examples, a Knowledge Model for generative-AI knowledge structures, and a Literate Model for human-readable context and intent. Domain Modeling organizes the three constituents with emphasis on problem-domain meaning, structure, rules, and boundaries. Application Modeling organizes them with emphasis on Use Case realization, Collaborations, Interactions, state transitions, Events, Services, and Operations. Domain Modeling is not entirely static, and Application Modeling does not own every dynamic element. Approved executable formal structures are connected to executable software through CML, Cozy, AI, and Textus as Model Realization. Quality attributes remain cross-cutting design concerns.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/development-process/modeling-technology-system.html"}, {"@id": "https://www.simplemodeling.org/en/development-process/modeling-technology-system.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/development-process/what-simplemodeling-has-pursued"}, {"@id": "https://www.simplemodeling.org/development-process/why-reconstruct-software-development-methodology"}, {"@id": "https://www.simplemodeling.org/development-process/simplemodeling-development-process-essence"}, {"@id": "https://www.simplemodeling.org/development-process/architecture-centric-simplemodeling"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "dcterms:date": "2026-08-03",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/development-process/application-modeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/domain-modeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/knowledge-modeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/literate-modeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/model-realization.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/modeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/object-modeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/software-development-methodology.html"}],
      "schema:description": [{"@value": "Knowledge Systemは既存技術を収集、整理、分類し、理解のための地図を提供します。Software Development Methodologyは、その知識から必要な技術を選び、役割と利用方法を定め、開発実践を導きます。SimpleModelingモデルは、形式構造と実行例を担うObject Model、生成AI向けの知識構造を担うKnowledge Model、人間が理解できる文脈や意図を担うLiterate Modelから構成されます。Domain Modelingは問題領域の意味、構造、規則、境界に重点を置き、Application ModelingはUse Caseの実現、協調、相互作用、状態遷移、Event、Service、Operationに重点を置いて、三つの構成要素を目的別に組織します。Domain Modelingを完全に静的、Application Modelingをすべての動的要素の所有者とはしません。承認済みの実行可能な形式構造は、Model RealizationとしてCML、Cozy、AI、Textusを通じて実行可能ソフトウェアへ接続します。品質属性はモデル全体を横断する設計課題として扱います。", "@language": "ja"}, {"@value": "A Knowledge System collects, organizes, and classifies existing technologies and provides a map for understanding them. A Software Development Methodology selects the needed technologies from that knowledge, defines their roles and use, and guides practice. A SimpleModeling Model is composed of an Object Model for formal structure and execution examples, a Knowledge Model for generative-AI knowledge structures, and a Literate Model for human-readable context and intent. Domain Modeling organizes the three constituents with emphasis on problem-domain meaning, structure, rules, and boundaries. Application Modeling organizes them with emphasis on Use Case realization, Collaborations, Interactions, state transitions, Events, Services, and Operations. Domain Modeling is not entirely static, and Application Modeling does not own every dynamic element. Approved executable formal structures are connected to executable software through CML, Cozy, AI, and Textus as Model Realization. Quality attributes remain cross-cutting design concerns.", "@language": "en"}],
      "smorg:brief": [{"@value": "Knowledge Systemは既存技術を収集、整理、分類し、理解のための地図を提供します。Software Development Methodologyは、その知識から必要な技術を選び、役割と利用方法を定め、開発実践を導きます。SimpleModelingモデルは、形式構造と実行例を担うObject Model、生成AI向けの知識構造を担うKnowledge Model、人間が理解できる文脈や意図を担うLiterate Modelから構成されます。Domain Modelingは問題領域の意味、構造、規則、境界に重点を置き、Application ModelingはUse Caseの実現、協調、相互作用、状態遷移、Event、Service、Operationに重点を置いて、三つの構成要素を目的別に組織します。Domain Modelingを完全に静的、Application Modelingをすべての動的要素の所有者とはしません。承認済みの実行可能な形式構造は、Model RealizationとしてCML、Cozy、AI、Textusを通じて実行可能ソフトウェアへ接続します。品質属性はモデル全体を横断する設計課題として扱います。", "@language": "ja"}, {"@value": "A Knowledge System collects, organizes, and classifies existing technologies and provides a map for understanding them. A Software Development Methodology selects the needed technologies from that knowledge, defines their roles and use, and guides practice. A SimpleModeling Model is composed of an Object Model for formal structure and execution examples, a Knowledge Model for generative-AI knowledge structures, and a Literate Model for human-readable context and intent. Domain Modeling organizes the three constituents with emphasis on problem-domain meaning, structure, rules, and boundaries. Application Modeling organizes them with emphasis on Use Case realization, Collaborations, Interactions, state transitions, Events, Services, and Operations. Domain Modeling is not entirely static, and Application Modeling does not own every dynamic element. Approved executable formal structures are connected to executable software through CML, Cozy, AI, and Textus as Model Realization. Quality attributes remain cross-cutting design concerns.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/development-process/object-modeling-as-structural-foundation",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "構造基盤としてのオブジェクトモデリング", "@language": "ja"}, {"@value": "Object Modeling as a Structural Foundation", "@language": "en"}, "構造基盤としてのオブジェクトモデリング"],
      "schema:relatedLink": {"@id": "https://www.simplemodeling.org/development-process/model-structure-and-views"},
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/development-process/model-structure-and-views"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/development-process/model-structure-and-views"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}],
      "smorg:summary": [{"@value": "SimpleModelingモデルは、オブジェクト・モデル、知識モデル、文芸モデルから構成され、この三つから目的別のドメイン・モデル、ユースケース・モデル、アプリケーション・モデルを構成します。そのうちオブジェクト・モデルは、一般的な構造と振る舞いを定義する実行可能モデルと、相互作用などの具体的な実行を示す実行例モデルを含みます。実行例は帰納的な制約として設計と検証に利用し、現行CMLは実行可能モデルだけを対象にします。プラットフォーム向けの機構はCML、Cozy、Textusが吸収するため、オブジェクトモデリングをドメイン・モデルの記述へ集中できます。", "@language": "ja"}, {"@value": "A SimpleModeling Model is composed of Object, Knowledge, and Literate Models, which are combined by purpose into Domain, Use Case, and Application Models. The Object Model contains an Executable Model that defines general structure and Behavior and an Execution Example Model that presents concrete executions such as Interactions. Execution examples provide inductive constraints for design and validation, while current CML targets only the Executable Model. CML, Cozy, and Textus absorb platform-oriented mechanisms so Object Modeling can focus on describing the Domain Model.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/development-process/object-modeling-as-structural-foundation.html"}, {"@id": "https://www.simplemodeling.org/en/development-process/object-modeling-as-structural-foundation.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/development-process/model-structure-and-views"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}],
      "dcterms:date": "2026-08-17",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/development-process/aspect.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/capability.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/class.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/identity.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/object-model.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/object-modeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/powertype.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/responsibility.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/software-development-methodology.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/state-machine.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/structural-ownership.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/type.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/view.html"}],
      "schema:description": [{"@value": "SimpleModelingモデルは、オブジェクト・モデル、知識モデル、文芸モデルから構成され、この三つから目的別のドメイン・モデル、ユースケース・モデル、アプリケーション・モデルを構成します。そのうちオブジェクト・モデルは、一般的な構造と振る舞いを定義する実行可能モデルと、相互作用などの具体的な実行を示す実行例モデルを含みます。実行例は帰納的な制約として設計と検証に利用し、現行CMLは実行可能モデルだけを対象にします。プラットフォーム向けの機構はCML、Cozy、Textusが吸収するため、オブジェクトモデリングをドメイン・モデルの記述へ集中できます。", "@language": "ja"}, {"@value": "A SimpleModeling Model is composed of Object, Knowledge, and Literate Models, which are combined by purpose into Domain, Use Case, and Application Models. The Object Model contains an Executable Model that defines general structure and Behavior and an Execution Example Model that presents concrete executions such as Interactions. Execution examples provide inductive constraints for design and validation, while current CML targets only the Executable Model. CML, Cozy, and Textus absorb platform-oriented mechanisms so Object Modeling can focus on describing the Domain Model.", "@language": "en"}],
      "smorg:brief": [{"@value": "SimpleModelingモデルは、オブジェクト・モデル、知識モデル、文芸モデルから構成され、この三つから目的別のドメイン・モデル、ユースケース・モデル、アプリケーション・モデルを構成します。そのうちオブジェクト・モデルは、一般的な構造と振る舞いを定義する実行可能モデルと、相互作用などの具体的な実行を示す実行例モデルを含みます。実行例は帰納的な制約として設計と検証に利用し、現行CMLは実行可能モデルだけを対象にします。プラットフォーム向けの機構はCML、Cozy、Textusが吸収するため、オブジェクトモデリングをドメイン・モデルの記述へ集中できます。", "@language": "ja"}, {"@value": "A SimpleModeling Model is composed of Object, Knowledge, and Literate Models, which are combined by purpose into Domain, Use Case, and Application Models. The Object Model contains an Executable Model that defines general structure and Behavior and an Execution Example Model that presents concrete executions such as Interactions. Execution examples provide inductive constraints for design and validation, while current CML targets only the Executable Model. CML, Cozy, and Textus absorb platform-oriented mechanisms so Object Modeling can focus on describing the Domain Model.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/development-process/simplemodeling-development-process-essence",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "Essence FrameworkによるSimpleModeling Development Processの定義", "@language": "ja"}, {"@value": "SimpleModeling Development Process with Essence Framework", "@language": "en"}, "Essence FrameworkによるSimpleModeling Development Processの定義"],
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      "smorg:summary": [{"@value": "SimpleModeling Development Processは、Essence Kernelを共通基盤とし、Use Case Lite、Scrum Solo、Cloud Native CBD、BoK、Cozy Domain Modeling、Code Generation、DevOpsなどのPracticeを選択・合成して構成される。実行基盤としてはCNCFを位置づける。本稿では、Method View、Process Flow View、Work Product View、Role/Agent View、Automation View、Lifecycle Viewに分けて、その定義の雛形を示す。", "@language": "ja"}, {"@value": "The SimpleModeling Development Process is composed by selecting and combining Practices such as Use Case Lite, Scrum Solo, Cloud Native CBD, BoK, Cozy Domain Modeling, Code Generation, and DevOps on top of the Essence Kernel. CNCF is positioned as the execution foundation. This article provides a draft definition using Method View, Process Flow View, Work Product View, Role/Agent View, Automation View, and Lifecycle View.", "@language": "en"}],
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      "dcterms:date": "2026-04-20",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/development-process/ai.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/development.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/essence.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/process.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/simplemodeling.html"}],
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      "smorg:brief": [{"@value": "SimpleModeling Development Processは、Essence Kernelを共通基盤とし、Use Case Lite、Scrum Solo、Cloud Native CBD、BoK、Cozy Domain Modeling、Code Generation、DevOpsなどのPracticeを選択・合成して構成される。実行基盤としてはCNCFを位置づける。本稿では、Method View、Process Flow View、Work Product View、Role/Agent View、Automation View、Lifecycle Viewに分けて、その定義の雛形を示す。", "@language": "ja"}, {"@value": "The SimpleModeling Development Process is composed by selecting and combining Practices such as Use Case Lite, Scrum Solo, Cloud Native CBD, BoK, Cozy Domain Modeling, Code Generation, and DevOps on top of the Essence Kernel. CNCF is positioned as the execution foundation. This article provides a draft definition using Method View, Process Flow View, Work Product View, Role/Agent View, Automation View, and Lifecycle View.", "@language": "en"}]
    },
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      "smorg:summary": [{"@value": "SimpleModelingは、文芸モデル・DSL・実行基盤を統合し、AIが直接扱える開発プロセスを実現する。本稿ではEssenceの考え方を踏まえつつ、BoK→Cozy→CNCF→SKILLの流れとして再構成された最小開発プロセスを示す。", "@language": "ja"}, {"@value": "SimpleModeling integrates literate modeling, DSL, and execution platform to enable AI-driven development processes. This article reconstructs a minimal development workflow based on Essence as a BoK → Cozy → CNCF → SKILL pipeline.", "@language": "en"}],
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      "dcterms:date": "2026-04-13",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/development-process/ai.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/development.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/essence.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/process.html"}],
      "schema:description": [{"@value": "SimpleModelingは、文芸モデル・DSL・実行基盤を統合し、AIが直接扱える開発プロセスを実現する。本稿ではEssenceの考え方を踏まえつつ、BoK→Cozy→CNCF→SKILLの流れとして再構成された最小開発プロセスを示す。", "@language": "ja"}, {"@value": "SimpleModeling integrates literate modeling, DSL, and execution platform to enable AI-driven development processes. This article reconstructs a minimal development workflow based on Essence as a BoK → Cozy → CNCF → SKILL pipeline.", "@language": "en"}],
      "smorg:brief": [{"@value": "SimpleModelingは、文芸モデル・DSL・実行基盤を統合し、AIが直接扱える開発プロセスを実現する。本稿ではEssenceの考え方を踏まえつつ、BoK→Cozy→CNCF→SKILLの流れとして再構成された最小開発プロセスを示す。", "@language": "ja"}, {"@value": "SimpleModeling integrates literate modeling, DSL, and execution platform to enable AI-driven development processes. This article reconstructs a minimal development workflow based on Essence as a BoK → Cozy → CNCF → SKILL pipeline.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/development-process/static-model-harness",
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      "rdfs:label": [{"@value": "静的モデル・ハーネス — ドメインの構造を記述する", "@language": "ja"}, {"@value": "Static Model Harness — Describing Domain Structure", "@language": "en"}, "静的モデル・ハーネス — ドメインの構造を記述する"],
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      "smorg:summary": [{"@value": "静的モデル・ハーネスは、ドメインの概念・関係・規則をモデルとして記述し、検査と実行へ接続する基盤です。本連載の第3回では、ソフトウェア工学で実用化された構成方法を活用し、AIによる生成・変更にも業務上の制約を働かせる仕組みを説明します。\n", "@language": "ja"}, {"@value": "The Static Model Harness provides a foundation for describing domain concepts, relationships, and rules as models and connecting them to checking and execution. Part 3 of this series explains how established software engineering practices can make business constraints effective during AI-assisted generation and modification.\n", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/development-process/static-model-harness.html"}, {"@id": "https://www.simplemodeling.org/en/development-process/static-model-harness.html"}],
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      "dcterms:date": "2026-10-05",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/development-process/bounded-context.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/context.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/domain-model.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/domain-modeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/generative-ai.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/glossary.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/knowledge-model.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/literate-model.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/object-model.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/software-development-methodology.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/ubiquitous-language.html"}],
      "schema:description": [{"@value": "静的モデル・ハーネスは、ドメインの概念・関係・規則をモデルとして記述し、検査と実行へ接続する基盤です。本連載の第3回では、ソフトウェア工学で実用化された構成方法を活用し、AIによる生成・変更にも業務上の制約を働かせる仕組みを説明します。\n", "@language": "ja"}, {"@value": "The Static Model Harness provides a foundation for describing domain concepts, relationships, and rules as models and connecting them to checking and execution. Part 3 of this series explains how established software engineering practices can make business constraints effective during AI-assisted generation and modification.\n", "@language": "en"}],
      "smorg:brief": [{"@value": "静的モデル・ハーネスは、ドメインの概念・関係・規則をモデルとして記述し、検査と実行へ接続する基盤です。本連載の第3回では、ソフトウェア工学で実用化された構成方法を活用し、AIによる生成・変更にも業務上の制約を働かせる仕組みを説明します。\n", "@language": "ja"}, {"@value": "The Static Model Harness provides a foundation for describing domain concepts, relationships, and rules as models and connecting them to checking and execution. Part 3 of this series explains how established software engineering practices can make business constraints effective during AI-assisted generation and modification.\n", "@language": "en"}]
    },
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      "rdfs:label": [{"@value": "SimpleModelingが目指してきたもの", "@language": "ja"}, {"@value": "What SimpleModeling Has Pursued", "@language": "en"}, "SimpleModelingが目指してきたもの"],
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      "dcterms:modified": "2026-07-27",
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/development-process/why-reconstruct-software-development-methodology"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "smorg:summary": [{"@value": "SimpleModelingは、CML、DSL、文芸モデル、Cozy、Textusによって、モデルから実行可能ソフトウェアへの経路を構築してきました。CozyはCMLを実行可能ソフトウェアへ変換し、AIはCozyが変換しきれない実装部分を補完します。Textusは得られたソフトウェアを実行します。一方、知識からドメインモデルを構成する工程は主に人間が担ってきました。BoKを共通基盤としてドメインエキスパート、開発者、AIが協業することで、KnowledgeからExecutable Softwareまでを一つの方法論として扱えます。", "@language": "ja"}, {"@value": "SimpleModeling has built a path from models to executable software through CML, DSLs, Literate Models, Cozy, and Textus. Cozy transforms CML into executable software, while AI fills implementation gaps that Cozy cannot transform completely. Textus runs the resulting software. Meanwhile, people have performed most of the work of constructing a Domain Model from knowledge. With the BoK as a shared foundation for collaboration among domain experts, developers, and AI, the path from Knowledge to Executable Software can be treated as one methodology.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/development-process/what-simplemodeling-has-pursued.html"}, {"@id": "https://www.simplemodeling.org/en/development-process/what-simplemodeling-has-pursued.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/development-process/why-reconstruct-software-development-methodology"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
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      "dcterms:date": "2026-07-27",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/development-process/ai.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/bok.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/literate-modeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/model-driven-development.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/simplemodeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/textus.html"}],
      "schema:description": [{"@value": "SimpleModelingは、CML、DSL、文芸モデル、Cozy、Textusによって、モデルから実行可能ソフトウェアへの経路を構築してきました。CozyはCMLを実行可能ソフトウェアへ変換し、AIはCozyが変換しきれない実装部分を補完します。Textusは得られたソフトウェアを実行します。一方、知識からドメインモデルを構成する工程は主に人間が担ってきました。BoKを共通基盤としてドメインエキスパート、開発者、AIが協業することで、KnowledgeからExecutable Softwareまでを一つの方法論として扱えます。", "@language": "ja"}, {"@value": "SimpleModeling has built a path from models to executable software through CML, DSLs, Literate Models, Cozy, and Textus. Cozy transforms CML into executable software, while AI fills implementation gaps that Cozy cannot transform completely. Textus runs the resulting software. Meanwhile, people have performed most of the work of constructing a Domain Model from knowledge. With the BoK as a shared foundation for collaboration among domain experts, developers, and AI, the path from Knowledge to Executable Software can be treated as one methodology.", "@language": "en"}],
      "smorg:brief": [{"@value": "SimpleModelingは、CML、DSL、文芸モデル、Cozy、Textusによって、モデルから実行可能ソフトウェアへの経路を構築してきました。CozyはCMLを実行可能ソフトウェアへ変換し、AIはCozyが変換しきれない実装部分を補完します。Textusは得られたソフトウェアを実行します。一方、知識からドメインモデルを構成する工程は主に人間が担ってきました。BoKを共通基盤としてドメインエキスパート、開発者、AIが協業することで、KnowledgeからExecutable Softwareまでを一つの方法論として扱えます。", "@language": "ja"}, {"@value": "SimpleModeling has built a path from models to executable software through CML, DSLs, Literate Models, Cozy, and Textus. Cozy transforms CML into executable software, while AI fills implementation gaps that Cozy cannot transform completely. Textus runs the resulting software. Meanwhile, people have performed most of the work of constructing a Domain Model from knowledge. With the BoK as a shared foundation for collaboration among domain experts, developers, and AI, the path from Knowledge to Executable Software can be treated as one methodology.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/development-process/why-reconstruct-software-development-methodology",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "なぜソフトウェア開発方法論を再構築するのか", "@language": "ja"}, {"@value": "Why Reconstruct Software Development Methodology?", "@language": "en"}, "なぜソフトウェア開発方法論を再構築するのか"],
      "schema:relatedLink": [{"@id": "https://www.simplemodeling.org/development-process/what-simplemodeling-has-pursued"}, {"@id": "https://www.simplemodeling.org/development-process/architecture-centric-simplemodeling"}, {"@id": "https://www.simplemodeling.org/development-process/simplemodeling-development-process-essence"}],
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      "dcterms:references": [{"@id": "https://www.simplemodeling.org/development-process/what-simplemodeling-has-pursued"}, {"@id": "https://www.simplemodeling.org/development-process/architecture-centric-simplemodeling"}, {"@id": "https://www.simplemodeling.org/development-process/simplemodeling-development-process-essence"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "smorg:summary": [{"@value": "AIの登場によって、ドメインモデルは、実装への実現経路を持ち、開発を実際に前へ進めるworking abstractionになりました。AIはドメインモデルを実装へ変換し、実装に必要な詳細を補完します。これにより、人間が主に扱う対象は、実装の逐次記述から、対象世界、責務、実行、知識を表すソフトウェアモデルへ移ります。モデルの品質がソフトウェアの品質を強く左右するため、モデリングが新しいチョークポイントとなり、既存のソフトウェア工学をモデリング中心の方法論として再構成する必要があります。", "@language": "ja"}, {"@value": "With the arrival of AI, the domain model has become a working abstraction with a realization path to implementation that can directly drive development forward. AI translates domain models into implementations and fills in the necessary implementation details. The primary subject handled by humans therefore shifts from describing implementation step by step to software models representing the target world, responsibilities, execution, and knowledge. Because model quality strongly influences software quality, modeling becomes the new choke point, requiring existing software engineering to be reconstructed as a modeling-centered methodology.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/development-process/why-reconstruct-software-development-methodology.html"}, {"@id": "https://www.simplemodeling.org/en/development-process/why-reconstruct-software-development-methodology.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/development-process/what-simplemodeling-has-pursued"}, {"@id": "https://www.simplemodeling.org/development-process/architecture-centric-simplemodeling"}, {"@id": "https://www.simplemodeling.org/development-process/simplemodeling-development-process-essence"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/textus"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
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      "dcterms:date": "2026-07-20",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/development-process/abstraction.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/ai.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/modeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/simplemodeling.html"}, {"@id": "https://www.simplemodeling.org/tags/development-process/software-development-methodology.html"}],
      "schema:description": [{"@value": "AIの登場によって、ドメインモデルは、実装への実現経路を持ち、開発を実際に前へ進めるworking abstractionになりました。AIはドメインモデルを実装へ変換し、実装に必要な詳細を補完します。これにより、人間が主に扱う対象は、実装の逐次記述から、対象世界、責務、実行、知識を表すソフトウェアモデルへ移ります。モデルの品質がソフトウェアの品質を強く左右するため、モデリングが新しいチョークポイントとなり、既存のソフトウェア工学をモデリング中心の方法論として再構成する必要があります。", "@language": "ja"}, {"@value": "With the arrival of AI, the domain model has become a working abstraction with a realization path to implementation that can directly drive development forward. AI translates domain models into implementations and fills in the necessary implementation details. The primary subject handled by humans therefore shifts from describing implementation step by step to software models representing the target world, responsibilities, execution, and knowledge. Because model quality strongly influences software quality, modeling becomes the new choke point, requiring existing software engineering to be reconstructed as a modeling-centered methodology.", "@language": "en"}],
      "smorg:brief": [{"@value": "AIの登場によって、ドメインモデルは、実装への実現経路を持ち、開発を実際に前へ進めるworking abstractionになりました。AIはドメインモデルを実装へ変換し、実装に必要な詳細を補完します。これにより、人間が主に扱う対象は、実装の逐次記述から、対象世界、責務、実行、知識を表すソフトウェアモデルへ移ります。モデルの品質がソフトウェアの品質を強く左右するため、モデリングが新しいチョークポイントとなり、既存のソフトウェア工学をモデリング中心の方法論として再構成する必要があります。", "@language": "ja"}, {"@value": "With the arrival of AI, the domain model has become a working abstraction with a realization path to implementation that can directly drive development forward. AI translates domain models into implementations and fills in the necessary implementation details. The primary subject handled by humans therefore shifts from describing implementation step by step to software models representing the target world, responsibilities, execution, and knowledge. Because model quality strongly influences software quality, modeling becomes the new choke point, requiring existing software engineering to be reconstructed as a modeling-centered methodology.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/domain-modeling/analysis-design-entity",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "エンティティの分析と設計", "@language": "ja"}, {"@value": "Entity Analysis and Design", "@language": "en"}, "エンティティの分析と設計"],
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      "smorg:summary": [{"@value": "ドメイン・モデルの中心となるエンティティの分析モデルと設計モデルの違いについて考察します。 ", "@language": "ja"}, {"@value": " We explore the differences between analysis models and design models of entities, which are central to domain models.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/domain-modeling/analysis-design-entity.html"}, {"@id": "https://www.simplemodeling.org/en/domain-modeling/analysis-design-entity.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
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      "dcterms:date": "2025-09-08",
      "schema:description": [{"@value": "ドメイン・モデルの中心となるエンティティの分析モデルと設計モデルの違いについて考察します。 ", "@language": "ja"}, {"@value": " We explore the differences between analysis models and design models of entities, which are central to domain models.", "@language": "en"}],
      "smorg:brief": [{"@value": "ドメイン・モデルの中心となるエンティティの分析モデルと設計モデルの違いについて考察します。 ", "@language": "ja"}, {"@value": " We explore the differences between analysis models and design models of entities, which are central to domain models.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/domain-modeling/base-datatype-profile",
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      "rdfs:label": [{"@value": "プロファイル：基本データ型", "@language": "ja"}, {"@value": "Profile : Base DataType", "@language": "en"}, "プロファイル：基本データ型"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
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      "smorg:summary": [{"@value": "SimpleModelingのドメイン・モデルで使用する基本データ型のプロファイルです。 ", "@language": "ja"}, {"@value": " This is a profile of basic data types used in domain models in SimpleModeling.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/domain-modeling/base-datatype-profile.html"}, {"@id": "https://www.simplemodeling.org/en/domain-modeling/base-datatype-profile.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
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      "dcterms:date": "2025-07-14",
      "schema:description": [{"@value": "SimpleModelingのドメイン・モデルで使用する基本データ型のプロファイルです。 ", "@language": "ja"}, {"@value": " This is a profile of basic data types used in domain models in SimpleModeling.", "@language": "en"}],
      "smorg:brief": [{"@value": "SimpleModelingのドメイン・モデルで使用する基本データ型のプロファイルです。 ", "@language": "ja"}, {"@value": " This is a profile of basic data types used in domain models in SimpleModeling.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/domain-modeling/concept-analysis-design",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "概念モデル/分析モデル/設計モデル", "@language": "ja"}, {"@value": "Conceptual Model / Analysis Model / Design Model", "@language": "en"}, "概念モデル/分析モデル/設計モデル"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/tdd"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/tdd"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/tdd"}],
      "smorg:summary": [{"@value": "ドメイン・モデルは現実世界をソフトウェアで操作可能なモデルとして写し取ったものです。大切な点は、開発対象の問題領域の専門家が持つ「概念世界」を忠実に再現することです。 ", "@language": "ja"}, {"@value": " A domain model is a representation of the real world transformed into a model that can be manipulated by software. The key point is to faithfully reproduce the &quot;conceptual world&quot; held by experts in the target problem domain.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/domain-modeling/concept-analysis-design.html"}, {"@id": "https://www.simplemodeling.org/en/domain-modeling/concept-analysis-design.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/tdd"}],
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      "dcterms:date": "2025-08-11",
      "schema:description": [{"@value": "ドメイン・モデルは現実世界をソフトウェアで操作可能なモデルとして写し取ったものです。大切な点は、開発対象の問題領域の専門家が持つ「概念世界」を忠実に再現することです。 ", "@language": "ja"}, {"@value": " A domain model is a representation of the real world transformed into a model that can be manipulated by software. The key point is to faithfully reproduce the &quot;conceptual world&quot; held by experts in the target problem domain.", "@language": "en"}],
      "smorg:brief": [{"@value": "ドメイン・モデルは現実世界をソフトウェアで操作可能なモデルとして写し取ったものです。大切な点は、開発対象の問題領域の専門家が持つ「概念世界」を忠実に再現することです。 ", "@language": "ja"}, {"@value": " A domain model is a representation of the real world transformed into a model that can be manipulated by software. The key point is to faithfully reproduce the &quot;conceptual world&quot; held by experts in the target problem domain.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/domain-modeling/domain-model-elements",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "ドメイン・モデルの基本構成要素", "@language": "ja"}, {"@value": "Domain Model Elements", "@language": "en"}, "ドメイン・モデルの基本構成要素"],
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      "schema:mentions": [{"@id": "https://www.simplemodeling.org/domain-modeling/base-datatype-profile"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}],
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      "dcterms:references": [{"@id": "https://www.simplemodeling.org/domain-modeling/base-datatype-profile"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}],
      "smorg:summary": [{"@value": "SimpleModelingではドメイン・モデルを構成する基本構成要素として以下のものを使用します。 ", "@language": "ja"}, {"@value": " SimpleModeling uses the following fundamental elements to construct domain models.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/domain-modeling/domain-model-elements.html"}, {"@id": "https://www.simplemodeling.org/en/domain-modeling/domain-model-elements.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/domain-modeling/base-datatype-profile"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}],
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      "dcterms:date": "2025-08-04",
      "schema:description": [{"@value": "SimpleModelingではドメイン・モデルを構成する基本構成要素として以下のものを使用します。 ", "@language": "ja"}, {"@value": " SimpleModeling uses the following fundamental elements to construct domain models.", "@language": "en"}],
      "smorg:brief": [{"@value": "SimpleModelingではドメイン・モデルを構成する基本構成要素として以下のものを使用します。 ", "@language": "ja"}, {"@value": " SimpleModeling uses the following fundamental elements to construct domain models.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/domain-modeling/observation",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "観測記録", "@language": "ja"}, {"@value": "Observation", "@language": "en"}, "観測記録"],
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      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"},
      "dcterms:references": {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"},
      "smorg:summary": [{"@value": "アプリケーションの実行時に発生するあらゆる現象を意味的に分類し、原因、深刻度、対応方針、関係者、技術的な文脈（トレース情報や実行環境）などとともに記録することで、ログ、監視、分析、監査、トラブル対応、アラート通知、エラー通知などに一貫して活用することができます。", "@language": "ja"}, {"@value": "By semantically classifying all phenomena occurring during application runtime and recording them along with causes, severity, handling strategies, stakeholders, and technical contexts (such as trace information and execution environments), they can be consistently utilized for logging, monitoring, analysis, auditing, troubleshooting, alerting, and error reporting.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/domain-modeling/observation.html"}, {"@id": "https://www.simplemodeling.org/en/domain-modeling/observation.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"},
      "http://www.w3.org/2004/02/skos/core#example": {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"},
      "dcterms:date": "2025-09-22",
      "schema:description": [{"@value": "アプリケーションの実行時に発生するあらゆる現象を意味的に分類し、原因、深刻度、対応方針、関係者、技術的な文脈（トレース情報や実行環境）などとともに記録することで、ログ、監視、分析、監査、トラブル対応、アラート通知、エラー通知などに一貫して活用することができます。", "@language": "ja"}, {"@value": "By semantically classifying all phenomena occurring during application runtime and recording them along with causes, severity, handling strategies, stakeholders, and technical contexts (such as trace information and execution environments), they can be consistently utilized for logging, monitoring, analysis, auditing, troubleshooting, alerting, and error reporting.", "@language": "en"}],
      "smorg:brief": [{"@value": "アプリケーションの実行時に発生するあらゆる現象を意味的に分類し、原因、深刻度、対応方針、関係者、技術的な文脈（トレース情報や実行環境）などとともに記録することで、ログ、監視、分析、監査、トラブル対応、アラート通知、エラー通知などに一貫して活用することができます。", "@language": "ja"}, {"@value": "By semantically classifying all phenomena occurring during application runtime and recording them along with causes, severity, handling strategies, stakeholders, and technical contexts (such as trace information and execution environments), they can be consistently utilized for logging, monitoring, analysis, auditing, troubleshooting, alerting, and error reporting.", "@language": "en"}]
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    {
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      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "AI協調のためのBoK生成アーキテクチャ", "@language": "ja"}, {"@value": "AI Collaboration Architecture", "@language": "en"}, "AI協調のためのBoK生成アーキテクチャ"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "dcterms:modified": "2025-11-03",
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "smorg:summary": [{"@value": "本記事では、SimpleModelingにおけるAI協調アーキテクチャを示します。 文芸モデル文書群から成るSmartDoxサイトには、通常のSmartDox文書とCML文書が格納されています。 SmartDoxコマンドはサイト全体を解析し、MCP（行動層）、HTML（理解層）、Web Metadata（意味層）を生成して BoKを構築します。 AIはRAGを介してBoKを参照し、知識を内化（理解）し、昇格（学習）へと発展させます。", "@language": "ja"}, {"@value": "This article describes the AI collaboration architecture in SimpleModeling, where the SmartDox site — a structured corpus of literate model documents — contains both ordinary SmartDox documents and CML (Cozy Modeling Language) documents. The SmartDox command analyzes the entire site and produces three outputs: MCP for actions, HTML for understanding, and Web Metadata for semantics. These are unified into the BoK, which AI retrieves and assimilates through RAG, promoting it through learning.", "@language": "en"}],
      "smorg:headline": [{"@value": "AIはモデルを読み、理解し、学ぶ。 SmartDoxサイトをBoKに変換し、AIがそれを通じて知識を内化し、応用する。", "@language": "ja"}, {"@value": "AI reads, understands, and learns from models. It transforms the SmartDox site into a BoK, internalizing and applying knowledge through it.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/knowledge-development/ai-collaboration-architecture.html"}, {"@id": "https://www.simplemodeling.org/en/knowledge-development/ai-collaboration-architecture.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "dcterms:date": "2025-10-27",
      "schema:description": [{"@value": "本記事では、SimpleModelingにおけるAI協調アーキテクチャを示します。 文芸モデル文書群から成るSmartDoxサイトには、通常のSmartDox文書とCML文書が格納されています。 SmartDoxコマンドはサイト全体を解析し、MCP（行動層）、HTML（理解層）、Web Metadata（意味層）を生成して BoKを構築します。 AIはRAGを介してBoKを参照し、知識を内化（理解）し、昇格（学習）へと発展させます。", "@language": "ja"}, {"@value": "This article describes the AI collaboration architecture in SimpleModeling, where the SmartDox site — a structured corpus of literate model documents — contains both ordinary SmartDox documents and CML (Cozy Modeling Language) documents. The SmartDox command analyzes the entire site and produces three outputs: MCP for actions, HTML for understanding, and Web Metadata for semantics. These are unified into the BoK, which AI retrieves and assimilates through RAG, promoting it through learning.", "@language": "en"}],
      "smorg:brief": [{"@value": "SmartDox文書は文芸モデルを記述する最小単位であり、 SmartDoxサイトはそれらを体系化した知識構造体です。 サイトには、通常文書とCML文書が格納されます。 SmartDoxコマンドはサイト全体を解析し、 通常文書からHTMLとWeb Metadataを、 CML文書からHTML・MCP・Web Metadataを生成します。 これらを統合することで、サイト全体はBoK（Body of Knowledge）として再構成されます。 AIはRAG（Retrieval-Augmented Generation）を通じてBoKを参照し、 暗黙知と形式知を融合させながら、 理解（内化）と学習（昇格）の循環を形成します。", "@language": "ja"}, {"@value": "SmartDox documents are the smallest units describing literate models, while the SmartDox site serves as a structured knowledge architecture that organizes them. The site contains both regular documents and CML (Cozy Modeling Language) documents. The SmartDox command analyzes the entire site, generating HTML and Web Metadata from regular documents, and HTML, MCP, and Web Metadata from CML documents. By integrating these outputs, the site is reconstructed as a BoK (Body of Knowledge). Through RAG (Retrieval-Augmented Generation), AI refers to the BoK, fusing tacit and explicit knowledge, forming a continuous cycle of understanding (assimilation) and learning (promotion).", "@language": "en"}]
    },
    {
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      "rdfs:label": [{"@value": "AI知識創造アーキテクチャ：次世代SECIモデルに向けて", "@language": "ja"}, {"@value": "AI Knowledge Creation Architecture: Toward a Next-Generation SECI Model", "@language": "en"}, "AI知識創造アーキテクチャ：次世代SECIモデルに向けて"],
      "schema:relatedLink": {"@id": "https://www.simplemodeling.org/knowledge-development/ai-collaboration-architecture"},
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      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/seci"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/knowledge-development/ai-collaboration-architecture"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/seci"}],
      "smorg:summary": [{"@value": "本稿では、生成AIの活用時に進行する知識活性化・内化・表現・昇格・環流のプロセスを再整理し、 人間/組織の知識創造とAIの知識生成がどのように接続されるのかを明確にします。AI暗黙知とBoKという二層構造を軸に、AI時代の知識創造スパイラルを描き直すことが目的です。\n", "@language": "ja"}, {"@value": "In this article, we reorganize the processes of knowledge activation, assimilation, expression, promotion, and circulation that occur when using generative AI, and clarify how human/organizational knowledge creation connects with AI-based knowledge generation.Our objective is to redraw the knowledge-creation spiral for the AI era, centered on the two-layer structure of AI tacit knowledge and the Body of Knowledge.\n", "@language": "en"}],
      "smorg:headline": [{"@value": "AI知識創造アーキテクチャを通じて、SECIモデルをAI時代へと接続する。 知識昇格と知識環流で構成される知識創造ループは、未来のSECI-AIモデルを考えるための重要な補助線になるかもしれません。", "@language": "ja"}, {"@value": "We connect the SECI model to the AI era through the AI Knowledge Creation Architecture. The knowledge-creation loop—composed of knowledge promotion and knowledge circulation—may serve as an important guiding line for envisioning a future SECI-AI model.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/knowledge-development/ai-knowledge-architecture.html"}, {"@id": "https://www.simplemodeling.org/en/knowledge-development/ai-knowledge-architecture.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/knowledge-development/ai-collaboration-architecture"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/seci"}],
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      "dcterms:date": "2025-11-24",
      "schema:description": [{"@value": "本稿では、生成AIの活用時に進行する知識活性化・内化・表現・昇格・環流のプロセスを再整理し、 人間/組織の知識創造とAIの知識生成がどのように接続されるのかを明確にします。AI暗黙知とBoKという二層構造を軸に、AI時代の知識創造スパイラルを描き直すことが目的です。\n", "@language": "ja"}, {"@value": "In this article, we reorganize the processes of knowledge activation, assimilation, expression, promotion, and circulation that occur when using generative AI, and clarify how human/organizational knowledge creation connects with AI-based knowledge generation.Our objective is to redraw the knowledge-creation spiral for the AI era, centered on the two-layer structure of AI tacit knowledge and the Body of Knowledge.\n", "@language": "en"}],
      "smorg:brief": [{"@value": "本稿では、AI活用における知識の流れをAI知識創造アーキテクチャとして定義し、 その構造が将来的にSECIモデルをAI時代に適応させる際の基盤アーキテクチャとなりうることを示す。 AIの知識活性化・内化・表現・昇格を、SECIとの概念的対応関係の中で位置づける。", "@language": "ja"}, {"@value": "In this article, we define the flow of knowledge in AI utilization as the AI Knowledge Creation Architecture and show that its structure may serve as a foundational architecture for adapting the SECI model to the AI era. We position AI’s processes of knowledge activation, assimilation, expression, and promotion within their conceptual correspondence to the SECI model.", "@language": "en"}]
    },
    {
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      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "SIEにおけるBook知識化", "@language": "ja"}, {"@value": "Book Knowledge Materialization In SIE", "@language": "en"}, "SIEにおけるBook知識化"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "smorg:summary": [{"@value": "本記事では、SIEにおけるBook知識化モデルについて説明します。 最初の知識化対象としてBookを選択し、ISBNによる情報取得、 RDF知識の種類、SIEが追加する知識構造、 およびKnowledgeSpaceへの投影方法について整理します。", "@language": "ja"}, {"@value": "This article explains the Book knowledge materialization model in SIE. Using Book as the first example domain, it describes ISBN-based acquisition, RDF knowledge categories, SIE-added knowledge structures, and projection into KnowledgeSpace.", "@language": "en"}],
      "smorg:headline": [{"@value": "SIEは、ISBNを起点としてBook情報を取得し、RDFノードとして知識化します。", "@language": "ja"}, {"@value": "SIE acquires Book information from ISBN and materializes it as RDF-linked knowledge.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/knowledge-development/book-knowledge-materialization-sie.html"}, {"@id": "https://www.simplemodeling.org/en/knowledge-development/book-knowledge-materialization-sie.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}],
      "dcterms:date": "2026-05-24",
      "schema:description": [{"@value": "本記事では、SIEにおけるBook知識化モデルについて説明します。 最初の知識化対象としてBookを選択し、ISBNによる情報取得、 RDF知識の種類、SIEが追加する知識構造、 およびKnowledgeSpaceへの投影方法について整理します。", "@language": "ja"}, {"@value": "This article explains the Book knowledge materialization model in SIE. Using Book as the first example domain, it describes ISBN-based acquisition, RDF knowledge categories, SIE-added knowledge structures, and projection into KnowledgeSpace.", "@language": "en"}],
      "smorg:brief": [{"@value": "Semantic Integration Engine (SIE)では、Bookを単なる書誌情報として扱いません。 SIEはローカルなRDFノードを採番し、それに対してOpen Library、DBpedia、Wikidataなどのオープン知識を関連づけることで、 Bookを説明可能な知識構造として管理します。", "@language": "ja"}, {"@value": "Semantic Integration Engine (SIE) does not treat a Book as mere bibliographic metadata. Instead, SIE assigns its own local RDF node identity and attaches open knowledge sources such as Open Library, DBpedia, and Wikidata to build explainable knowledge structures.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/knowledge-development/book-knowledge-rdf-knowledge-space",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "Book知識とRDF知識空間の接続", "@language": "ja"}, {"@value": "Connecting Book Knowledge to RDF Knowledge Spaces", "@language": "en"}, "Book知識とRDF知識空間の接続"],
      "schema:relatedLink": {"@id": "https://www.simplemodeling.org/knowledge-development/book-knowledge-materialization-sie"},
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/knowledge-development/book-knowledge-materialization-sie"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/knowledge-development/book-knowledge-materialization-sie"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "smorg:summary": [{"@value": "Book知識は書誌情報だけでは完結しません。著者、出版社、時代、場所、関連作品など、多様な知識との接続によって価値が高まります。本記事では、Semantic Integration Engine (SIE) が Book知識を外部RDF知識空間と接続し、仮想的な知識グラフを構築する方法を説明します。", "@language": "ja"}, {"@value": "Book knowledge does not end with bibliographic metadata. Its value increases when connected to authors, publishers, historical periods, places, and related works. This article explains how the Semantic Integration Engine (SIE) connects book knowledge to external RDF knowledge spaces and constructs a virtual knowledge graph.", "@language": "en"}],
      "smorg:headline": [{"@value": "Connecting Book Knowledge Beyond Metadata", "@language": "ja"}, {"@value": "Connecting Book Knowledge Beyond Metadata", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/knowledge-development/book-knowledge-rdf-knowledge-space.html"}, {"@id": "https://www.simplemodeling.org/en/knowledge-development/book-knowledge-rdf-knowledge-space.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/knowledge-development/book-knowledge-materialization-sie"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}],
      "dcterms:date": "2026-06-01",
      "schema:description": [{"@value": "Book知識は書誌情報だけでは完結しません。著者、出版社、時代、場所、関連作品など、多様な知識との接続によって価値が高まります。本記事では、Semantic Integration Engine (SIE) が Book知識を外部RDF知識空間と接続し、仮想的な知識グラフを構築する方法を説明します。", "@language": "ja"}, {"@value": "Book knowledge does not end with bibliographic metadata. Its value increases when connected to authors, publishers, historical periods, places, and related works. This article explains how the Semantic Integration Engine (SIE) connects book knowledge to external RDF knowledge spaces and constructs a virtual knowledge graph.", "@language": "en"}],
      "smorg:brief": [{"@value": "How SIE links book knowledge with external RDF knowledge spaces.", "@language": "ja"}, {"@value": "How SIE links book knowledge with external RDF knowledge spaces.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/knowledge-development/knowledge-processing-in-simplemodeling",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "SimpleModelingにおける知識処理モデル", "@language": "ja"}, {"@value": "Knowledge Processing Model in SimpleModeling", "@language": "en"}, "SimpleModelingにおける知識処理モデル"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "smorg:summary": [{"@value": "SimpleModelingの知識処理モデルは、「意味 → 構造 → 定義 → 振る舞い → 実行 → 現実」という変換パイプラインとして構成されます。Contextはその全体を制御し、Effectの評価によって現実世界に作用が現れます。", "@language": "ja"}, {"@value": "The knowledge processing model in SimpleModeling is structured as a transformation pipeline: “meaning → structure → definition → behavior → execution → reality.” Context governs the entire pipeline, and reality emerges through the evaluation of effects.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/knowledge-development/knowledge-processing-in-simplemodeling.html"}, {"@id": "https://www.simplemodeling.org/en/knowledge-development/knowledge-processing-in-simplemodeling.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}],
      "dcterms:date": "2026-04-27",
      "dcterms:subject": [{"@id": "https://www.simplemodeling.org/tags/knowledge-development/ai.html"}, {"@id": "https://www.simplemodeling.org/tags/knowledge-development/architecture.html"}, {"@id": "https://www.simplemodeling.org/tags/knowledge-development/knowledge.html"}],
      "schema:description": [{"@value": "SimpleModelingの知識処理モデルは、「意味 → 構造 → 定義 → 振る舞い → 実行 → 現実」という変換パイプラインとして構成されます。Contextはその全体を制御し、Effectの評価によって現実世界に作用が現れます。", "@language": "ja"}, {"@value": "The knowledge processing model in SimpleModeling is structured as a transformation pipeline: “meaning → structure → definition → behavior → execution → reality.” Context governs the entire pipeline, and reality emerges through the evaluation of effects.", "@language": "en"}],
      "smorg:brief": [{"@value": "SimpleModelingの知識処理モデルは、「意味 → 構造 → 定義 → 振る舞い → 実行 → 現実」という変換パイプラインとして構成されます。Contextはその全体を制御し、Effectの評価によって現実世界に作用が現れます。", "@language": "ja"}, {"@value": "The knowledge processing model in SimpleModeling is structured as a transformation pipeline: “meaning → structure → definition → behavior → execution → reality.” Context governs the entire pipeline, and reality emerges through the evaluation of effects.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/knowledge-development/onefive-hop-plus",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "1.5hop+の思想:意味で探索する概念近傍", "@language": "ja"}, {"@value": "The Philosophy of 1.5hop+: Meaning-Oriented Concept Neighborhoods", "@language": "en"}, "1.5hop+の思想:意味で探索する概念近傍"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}],
      "smorg:summary": [{"@value": "1.5hop+は、固定された探索距離ではなく意味構造を基準に概念近傍を構成する知識グラフ探索手法です。CML/UMLメタモデルの構造を利用し、生成AIにとって十分な意味情報を提供することで、精度と効率を両立します。", "@language": "ja"}, {"@value": "1.5hop+ is a knowledge graph exploration approach that constructs concept neighborhoods based on semantic structure rather than fixed traversal distance. By leveraging CML/UML metamodel structures, it provides sufficient semantic context for generative AI, balancing accuracy and efficiency.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/knowledge-development/onefive-hop-plus.html"}, {"@id": "https://www.simplemodeling.org/en/knowledge-development/onefive-hop-plus.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/rdf"}, {"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/knowledge-development/semantic-integration-engine"}],
      "dcterms:date": "2026-03-23",
      "dcterms:subject": {"@id": "https://www.simplemodeling.org/tags/knowledge-development/knowledge.html"},
      "schema:description": [{"@value": "1.5hop+は、固定された探索距離ではなく意味構造を基準に概念近傍を構成する知識グラフ探索手法です。CML/UMLメタモデルの構造を利用し、生成AIにとって十分な意味情報を提供することで、精度と効率を両立します。", "@language": "ja"}, {"@value": "1.5hop+ is a knowledge graph exploration approach that constructs concept neighborhoods based on semantic structure rather than fixed traversal distance. By leveraging CML/UML metamodel structures, it provides sufficient semantic context for generative AI, balancing accuracy and efficiency.", "@language": "en"}],
      "smorg:brief": [{"@value": "1.5hop+は、固定された探索距離ではなく意味構造を基準に概念近傍を構成する知識グラフ探索手法です。CML/UMLメタモデルの構造を利用し、生成AIにとって十分な意味情報を提供することで、精度と効率を両立します。", "@language": "ja"}, {"@value": "1.5hop+ is a knowledge graph exploration approach that constructs concept neighborhoods based on semantic structure rather than fixed traversal distance. By leveraging CML/UML metamodel structures, it provides sufficient semantic context for generative AI, balancing accuracy and efficiency.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/literate-modeling/cml-sample-address",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "文芸モデルの実例：住所", "@language": "ja"}, {"@value": "Literate Model Example: Address", "@language": "en"}, "文芸モデルの実例：住所"],
      "schema:relatedLink": {"@id": "https://www.simplemodeling.org/literate-modeling/what-is-literate-model"},
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/literate-modeling/what-is-literate-model"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/literate-modeling/what-is-literate-model"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "smorg:summary": [{"@value": "文芸モデルを、住所モデルの実例でざっくり体感するためのサンプル記事です。 文芸モデルそのものの説明は、what-is-literate-model.doxが参考になります。", "@language": "ja"}, {"@value": "This is a sample article to give you a quick sense of a literate model using an address model example. For an explanation of what a literate model is, see what-is-literate-model.dox.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/literate-modeling/cml-sample-address.html"}, {"@id": "https://www.simplemodeling.org/en/literate-modeling/cml-sample-address.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/literate-modeling/what-is-literate-model"}, {"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/object-functional-programming/scala"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}],
      "dcterms:date": "2026-04-06",
      "schema:description": [{"@value": "文芸モデルを、住所モデルの実例でざっくり体感するためのサンプル記事です。 文芸モデルそのものの説明は、what-is-literate-model.doxが参考になります。", "@language": "ja"}, {"@value": "This is a sample article to give you a quick sense of a literate model using an address model example. For an explanation of what a literate model is, see what-is-literate-model.dox.", "@language": "en"}],
      "smorg:brief": [{"@value": "文芸モデルを、住所モデルの実例でざっくり体感するためのサンプル記事です。 文芸モデルそのものの説明は、what-is-literate-model.doxが参考になります。", "@language": "ja"}, {"@value": "This is a sample article to give you a quick sense of a literate model using an address model example. For an explanation of what a literate model is, see what-is-literate-model.dox.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/literate-modeling/what-is-literate-model",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "文芸モデル", "@language": "ja"}, {"@value": "Literate Model", "@language": "en"}, "文芸モデル"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}],
      "smorg:summary": [{"@value": "文芸モデルは、設計意図や背景を文章として書きながら、その中にモデル構造を埋め込むSmartDoxベースの記述手法です。ドキュメントとモデルを同一のソースで扱い、モデル駆動開発とAI支援開発を統合する基盤を提供します。", "@language": "ja"}, {"@value": "A Literate Model is a SmartDox-based descriptive method that embeds model structures within textual explanations of design intentions and context. It enables unified handling of documents and models, forming a foundation that integrates model-driven development with AI-assisted development.", "@language": "en"}],
      "smorg:headline": [{"@value": "語りと構造をひとつにし、人とAIが共に理解するモデルです。", "@language": "ja"}, {"@value": "A model that unifies narrative and structure for humans and AI to understand together.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/literate-modeling/what-is-literate-model.html"}, {"@id": "https://www.simplemodeling.org/en/literate-modeling/what-is-literate-model.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/dsl"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/cozy"}, {"@id": "https://www.simplemodeling.org/glossary/literate-modeling/bok"}],
      "dcterms:date": "2025-10-13",
      "schema:description": [{"@value": "文芸モデルは、設計意図や背景を文章として書きながら、その中にモデル構造を埋め込むSmartDoxベースの記述手法です。ドキュメントとモデルを同一のソースで扱い、モデル駆動開発とAI支援開発を統合する基盤を提供します。", "@language": "ja"}, {"@value": "A Literate Model is a SmartDox-based descriptive method that embeds model structures within textual explanations of design intentions and context. It enables unified handling of documents and models, forming a foundation that integrates model-driven development with AI-assisted development.", "@language": "en"}],
      "smorg:brief": [{"@value": "文芸モデル（Literate Model）は、自然言語の語りと形式的なモデル構造を同一の文書内で統合する知識表現手法です。人間が読め、AIが解析できるモデルとして、ドキュメントとモデルの境界をなくします。", "@language": "ja"}, {"@value": "A Literate Model is a knowledge representation method that integrates natural-language narratives and formal model structures within a single document, enabling both human readability and AI interpretability.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/marulabo/ooadlecture",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
      "rdfs:label": [{"@value": "クラウドアプリケーションのためのオブジェクト指向分析設計講座", "@language": "ja"}, {"@value": "Object-Oriented Analysis and Design Course for Cloud Applications", "@language": "en"}, "クラウドアプリケーションのためのオブジェクト指向分析設計講座"],
      "schema:mentions": [{"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#referencesTerm": [{"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}],
      "dcterms:references": [{"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}],
      "smorg:summary": [{"@value": "一般社団法人MaruLaboにて、オブジェクト指向分析設計の講座「クラウドアプリケーションのためのオブジェクト指向分析設計講座」を開講しました（全47回）。 ", "@language": "ja"}, {"@value": " We have launched a 47-part lecture series titled “Object-Oriented Analysis and Design for Cloud Applications” at the General Incorporated Association MaruLabo.", "@language": "en"}],
      "schema:hasPart": [{"@id": "https://www.simplemodeling.org/ja/marulabo/ooadlecture.html"}, {"@id": "https://www.simplemodeling.org/en/marulabo/ooadlecture.html"}],
      "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#mentions": [{"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}],
      "http://www.w3.org/2004/02/skos/core#example": [{"@id": "https://www.simplemodeling.org/glossary/object-foundation/uml"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/up"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cbd"}, {"@id": "https://www.simplemodeling.org/glossary/component-based-development/cloud-native-component-framework"}, {"@id": "https://www.simplemodeling.org/glossary/development-process/bdd"}],
      "dcterms:date": "2025-07-07",
      "schema:description": [{"@value": "一般社団法人MaruLaboにて、オブジェクト指向分析設計の講座「クラウドアプリケーションのためのオブジェクト指向分析設計講座」を開講しました（全47回）。 ", "@language": "ja"}, {"@value": " We have launched a 47-part lecture series titled “Object-Oriented Analysis and Design for Cloud Applications” at the General Incorporated Association MaruLabo.", "@language": "en"}],
      "smorg:brief": [{"@value": "一般社団法人MaruLaboにて、オブジェクト指向分析設計の講座「クラウドアプリケーションのためのオブジェクト指向分析設計講座」を開講しました（全47回）。 ", "@language": "ja"}, {"@value": " We have launched a 47-part lecture series titled “Object-Oriented Analysis and Design for Cloud Applications” at the General Incorporated Association MaruLabo.", "@language": "en"}]
    },
    {
      "@id": "https://www.simplemodeling.org/object-functional-programming/scala-literal-mdd",
      "rdf:type": [{"@id": "smorg:Article"}, {"@id": "https://www.simplemodeling.org/documentmodel/ontology/0.1-SNAPSHOT#KnowledgeUnit"}],
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      "smorg:summary": [{"@value": "ScalaはSimpleModeling Reference Profileにおいて、文芸モデルからの自動生成を受け止め、AIが理解できる構造を備えた中核言語です。", "@language": "ja"}, {"@value": "In the SimpleModeling Reference Profile, Scala serves as the core language that accepts generation from literate models and provides AI-interpretable structure.", "@language": "en"}],
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      "smorg:summary": [{"@value": "SimpleModeling.orgは、文芸モデル駆動開発(Literate Model-Driven Development)を軸としたモデリング技術を主題とする技術情報サイトです。 ", "@language": "ja"}, {"@value": " SimpleModeling.org is a technical information site focused on modeling technologies centered around Literate Model-Driven Development (Literate MDD).", "@language": "en"}],
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      "dcterms:date": "2025-07-28",
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      "smorg:summary": [{"@value": "SimpleModeling.org は、モデリングを中心としたソフトウェア開発の技術情報サイトです。 ", "@language": "ja"}, {"@value": " SimpleModeling.org is a technical information site focused on modeling-centric software development.", "@language": "en"}],
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      "smorg:summary": [{"@value": "AI時代のソフトウェア開発において、SimpleModeling.orgが提唱する文芸モデル駆動開発の全体像を紹介したセッションの報告です。 文芸モデルは、自然言語による説明と構造的なモデル記述を統合した知識単位であり、AIが理解・再構成可能な形式を備えています。 これにより、BoKをAIが検索・参照・内化できるRetrieval Knowledge Baseとして構築し、生成AIによる知識活用を実現します。 プログラミング駆動から知識駆動開発への転換を見据え、AIと人間が協調する新しい開発スタイルの方向性を示しました。", "@language": "ja"}, {"@value": "This is a report on the session introducing the overall vision of Literate Model-Driven Development proposed by SimpleModeling.org for software development in the AI era. A Literate Model is a knowledge unit that integrates natural-language explanations with structured model descriptions, providing a form that AI can interpret and reconstruct. Through this approach, the BoK is built as a Retrieval Knowledge Base that AI can search, reference, and internalize, enabling effective knowledge utilization by generative AI. Anticipating the shift from programming-driven to knowledge-driven development, the session explored new directions for development styles where humans and AI work in close collaboration.", "@language": "en"}],
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      "smorg:brief": [{"@value": "AI時代のソフトウェア開発において、SimpleModeling.orgが提唱する文芸モデル駆動開発の全体像を紹介したセッションの報告です。 文芸モデルは、自然言語による説明と構造的なモデル記述を統合した知識単位であり、AIが理解・再構成可能な形式を備えています。 これにより、BoKをAIが検索・参照・内化できるRetrieval Knowledge Baseとして構築し、生成AIによる知識活用を実現します。 プログラミング駆動から知識駆動開発への転換を見据え、AIと人間が協調する新しい開発スタイルの方向性を示しました。", "@language": "ja"}, {"@value": "This is a report on the session introducing the overall vision of Literate Model-Driven Development proposed by SimpleModeling.org for software development in the AI era. A Literate Model is a knowledge unit that integrates natural-language explanations with structured model descriptions, providing a form that AI can interpret and reconstruct. Through this approach, the BoK is built as a Retrieval Knowledge Base that AI can search, reference, and internalize, enabling effective knowledge utilization by generative AI. Anticipating the shift from programming-driven to knowledge-driven development, the session explored new directions for development styles where humans and AI work in close collaboration.", "@language": "en"}]
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