build-graph

You can build a knowledge graph from analysis results by running this Skill against your project path; it parses Markdown tables of ubiquitous language and domain-code mappings into RyuGraph nodes and relationships for semantic querying.

A software engineering knowledge graph maps ubiquitous language, domains, and code relationships into a queryable graph. You need one to enable fast semantic querying across formal analysis outputs and source code.

Yes, constructing this code knowledge graph requires Python 3.9 or higher and the ryugraph package. You also need access to formal analysis outputs like ubiquitous language tables and domain-code mappings from your source code.

Yes, Markdown tables from system analysis can populate a knowledge graph. This Skill reads Markdown tables of ubiquitous language and domain-code mappings, parsing them directly into graph nodes and relationships for semantic querying.

The best way to query domain-code relationships is to build a knowledge graph using RyuGraph. This Skill stores schema and statistics alongside the graph, enabling fast semantic queries of ubiquitous language, domains, and code relationships.

Knowledge graph construction requires formal analysis outputs because it relies on Markdown tables containing ubiquitous language, domain-code mappings, and architecture notes to generate the nodes and relationships that structure the graph.