ontology-refinement

name	ontology-refinement
description	Strategy for iterative ontology improvement — merge duplicates, fill gaps, update confidence, prune dead branches.
execution	strategy
dependencies	{"tactics":["concept-decomposition","knowledge-structuring-consistency-checking"],"sops":["alias-resolution","confidence-update","gap-detection","merge-candidates","ontology-export"]}

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

Metric	S	M	L
Merges performed	2	5	12
Gaps filled	3	8	15
Confidence updates	5	15	30

State Ledger Template

| Metric              | Target | Current | Status |
|---------------------|--------|---------|--------|
| Merges performed    | X      | 0       | ⬜     |
| Gaps filled         | X      | 0       | ⬜     |
| Confidence updates  | X      | 0       | ⬜     |

Cannot exit until 80% of budget met. Print state ledger before each iteration decision.

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

Tactic	When to use
concept-decomposition	Tactic for breaking compound concepts into atomic parts — split over-broad concepts, identify sub-components, create child pages.
knowledge-structuring-consistency-checking	Tactic for verifying ontology consistency — detect contradictions, cycles, orphans, and type violations.

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
alias-resolution	SOP for detecting and resolving concept aliases — merge duplicate pages, redirect edges.
confidence-update	SOP for updating confidence scores on claims and evidence pages based on new information.
gap-detection	SOP for finding structural gaps in the ontology — missing concepts, thin branches, disconnected clusters.
merge-candidates	SOP for identifying near-duplicate concepts that should be merged.
ontology-export	SOP for exporting ontology summary — generate a readable overview of the current ontology state.