yogsoth-ai Hierarchy Construction
Build taxonomic hierarchies using component_of and instance_of edges. Ensure hierarchies are acyclic, transitive, and complete.
Available SOPs
- edge-batch-creation — create hierarchy edges in bulk
- hierarchy-visualization — inspect current hierarchy structure
- gap-detection — find missing intermediate levels
- consistency-checking (tactic, peer) — verify no cycles
Guiding Principles
- Acyclic always. A cycle in a hierarchy is a logical error. Detect and break immediately.
- Intermediate levels matter. Jumping from "machine learning" directly to "Adam optimizer" skips useful structure.
- Multiple inheritance is fine. A concept can belong to multiple parents (component_of multiple things).
- Depth ≤ 5. Hierarchies deeper than 5 levels are usually over-specified.
Minimum Yield
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use |
|---|---|
| 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 |
|---|---|
| edge-batch-creation | SOP for creating multiple edges in a batch — efficient bulk relationship creation. |
| gap-detection | SOP for finding structural gaps in the ontology — missing concepts, thin branches, disconnected clusters. |
| hierarchy-visualization | SOP for inspecting the current hierarchy structure — query graph to display parent-child relationships. |