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yogsoth-aiyogsoth-ai/knowledge-structuring/skills/ontology-refinement/SKILL.md

ontology-refinement

Skill2 starsChanged 6 months agoApache-2.0View on GitHub

Strategy for iterative ontology improvement — merge duplicates, fill gaps, update confidence, prune dead branches.

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SKILL.md

Ontology Refinement

Iteratively improve the ontology. Merge near-duplicates, fill identified gaps, update confidence scores based on new evidence, prune concepts that proved irrelevant.

Guiding Focus

Refinement is where ontologies become useful. The first pass is always rough — refinement makes it precise. Be willing to delete concepts that don't earn their place.

Available Tactics

  • concept-decomposition — split over-broad concepts
  • consistency-checking — verify refinements don't introduce conflicts

Budget Slice

MetricSML
Merges performed2512
Gaps filled3815
Confidence updates51530

State Ledger Template

| Metric              | Target | Current | Status |
|---------------------|--------|---------|--------|
| Merges performed    | X      | 0       | ⬜     |
| Gaps filled         | X      | 0       | ⬜     |
| Confidence updates  | X      | 0       | ⬜     |
<HARD-GATE> Cannot exit until 80% of budget met. Print state ledger before each iteration decision. </HARD-GATE>

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