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name: lexical_taxonomy_schema description: Build and validate compact WordNet-style synset and semantic-pointer taxonomies for recovery experiments.

Lexical Taxonomy Schema

Use this skill when a task needs a WordNet-style lexical graph with synsets, word senses, and typed semantic pointers. Do not use it as a substitute for the full WordNet database; it is a schema and reduced-fixture builder for mechanism-faithful experiments.

Inputs

• Synset records with id, lemmas, pos, optional gloss, and relations.
• Relation records with type and target synset id.

Outputs

• Validated taxonomy dictionaries.
• Inventory counts for character strings, synsets, string-sense combinations, and semantic pointers.
• Lemma/POS lookup indexes for downstream tagging.

Workflow

1. Represent each lexicalized concept as a synset rather than as a single surface word.
2. Preserve many-to-many word-to-sense mappings because the paper distinguishes strings from string-sense combinations.
3. Validate relation endpoints before any tagging or distance computation.
4. Use typed semantic pointers such as hyponym, antonym, meronym, related, or pertains_to.
5. Record inventory counts whenever a recovery claims to reproduce WordNet-like structure.

Validation

Run python tests/test_lexical_schema.py or validate the tree with validate_skill_tree.py --run-tests.

Limitations

The bundled fixture is intentionally tiny. It tests mechanism contracts only and does not contain the original WordNet database.