domain-extractconcepts

You can extract domain concepts by ingesting structured requirements and goals to identify entities, terminology, and relationships. This process produces a reusable domain concept map with traceability, enabling coherent downstream domain modeling and glossary creation.

Generating a domain concept map involves analyzing structured requirements to isolate domain-specific terms and relationships. This automated extraction prevents manual errors and outputs both machine-readable JSON and human-readable markdown documentation with provenance frontmatter.

Traceability is established by linking extracted domain concepts, entities, and relationships directly back to the analyzed requirements. The generated JSON and markdown outputs include frontmatter provenance, ensuring every domain term maps to its source requirement for impact analysis.

Yes, extracted domain concepts can generate a machine-readable glossary by outputting a structured domain-concepts.json file. This file captures entities, domain areas, and relationships, directly supporting downstream design and impact analysis.

Yes, you need to ingest structured requirements.json and goals.json files to accurately identify domain-specific terminology and relationships. This structured input ensures the extracted domain concepts have reliable traceability for downstream design.

The outputs generated are a machine-readable domain-concepts.json and a human-readable domain-concepts.md file. Both contain structured entities, relationships, domain areas, and frontmatter provenance to support downstream domain modeling and documentation.