1.0 KiB
1.0 KiB
Phase 5 Research: Ontology and Learning Materials
Findings
The first useful ontology proof does not need heavy parsing. It needs a clean boundary that proves uploaded material can become inspectable candidate knowledge with provenance.
The MVP should:
- store material metadata and source text
- extract concept candidates from known backend interview concepts
- create prerequisite edges from a small deterministic rule set
- identify weak concepts when source support is thin
- never mark generated or inferred content as canonical
Recommended Shape
internal/ontologyowns material ingestion, candidate storage, and snapshot.- HTTP exposes JSON ingestion first.
- Evidence references use the existing workflow shared type.
- Gap records distinguish source-backed weakness from generated inference.
Risks
- Overbuilding parsers too early would violate YAGNI.
- Treating keyword extraction as canonical knowledge would violate OpenSpec.
- A future parser can replace the analyzer behind the same service boundary.