Knowledge Modeling

Knowledge Modeling is the activity of structuring concepts, semantic relationships, classifications, rules, evidence, sources, and related content in a SimpleModeling Model as a Knowledge Model that generative AI can retrieve, explore, relate, and interpret.

RDF, ontologies, and Knowledge Graphs carry explicit semantic structure; embeddings and RAG support retrieval of relevant information; and MCP provides access to selected knowledge resources. A BoK is a knowledge resource assembled from documents, terms, Models, and semantic metadata. Generative AI uses these mechanisms to explore Object and Literate Model content and explain it to people. People primarily use the Knowledge Model through interaction with generative AI.

The Glossary connects concepts in a Knowledge Model to the same concepts appearing in Object and Literate Models. Knowledge Modeling does not simply replace Business Modeling; it provides a foundation for domain experts, developers, and AI to reference multiple knowledge sources, including business knowledge, identify omissions and contradictions, and update models iteratively.