validating-knowledge-structure

You can validate a knowledge graph by running automated checks against schemas/knowledge-graph.schema.json to verify transitivity, acyclicity, and referential integrity, generating a PASS/WARN/FAIL report for structural soundness.

CbKST validation checks learning-space constraints, Bloom's level consistency, and orphan structure balance across items, surmise relations, competences, and knowledge states to ensure educational plausibility.

Yes, you can resolve validation errors automatically using the integrated closure tool, which supports iterative refinement of your knowledge graph model directly within the validation workflow.

Check surmise relations and competences by applying automated reasoning-based rules that test for mathematical constraints, reading your graph from graphs/*.json and validating against the JSON schema.

Knowledge space validation requires JSON files located in the graphs/*.json directory structure, validating them against schemas/knowledge-graph.schema.json and related references for downstream pipeline readiness.

Knowledge graph validation fails on schema conformance when structural constraints like referential integrity or Bloom's level consistency are violated, producing a FAIL report that can be resolved using the closure tool.