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ontology-map

Map local tags, categories, or terms to standard formal ontologies (like SKOS or industry-specific standards) to ensure interoperability.

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Overview

Map local tags, categories, or terms to standard formal ontologies (like SKOS or industry-specific standards) to ensure interoperability.

Install command

npx skills add https://github.com/dandye/information-architecture --skill ontology-map

Copy and paste this command into Claude Code to install the skill

Source

dandye/information-architecture

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UpdatedFebruary 6, 2026 at 23:03

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SKILL.md

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name	ontology-map
description	Map local tags, categories, or terms to standard formal ontologies (like SKOS or industry-specific standards) to ensure interoperability.
required_roles	{"scribe":"roles/scribe.editor"}
personas	["taxonomist","information-architect"]

Ontology Mapper Skill

Analyze a list of local terms (tags, categories) and suggest mappings to standard ontologies to improve content classification and interoperability.

Inputs

SOURCE_TERMS - A list of terms or a path to a file containing terms to map.
TARGET_ONTOLOGY - (Optional) The standard ontology to map to (e.g., "SKOS", "Dublin Core", "Schema.org"). Default: "SKOS".

Workflow

Analyze: Review the SOURCE_TERMS to understand their local context and usage.
Search: Look up potential matches in the TARGET_ONTOLOGY spec.
Map: suggest:
- Exact Match (skos:exactMatch)
- Broader Match (skos:broader)
- Narrower Match (skos:narrower)
- Related Match (skos:related)

Output

A mapping table (Markdown or CSV) linking Input Term -> Target URI/Term -> Relation Type.

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Source

dandye

dandye/information-architecture

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Useful forSOC

Software DevelopersComputer and Mathematical Occupations15-1252L4

name	ontology-map
description	Map local tags, categories, or terms to standard formal ontologies (like SKOS or industry-specific standards) to ensure interoperability.
required_roles	{"scribe":"roles/scribe.editor"}
personas	["taxonomist","information-architect"]

Ontology Mapper Skill

Analyze a list of local terms (tags, categories) and suggest mappings to standard ontologies to improve content classification and interoperability.

Inputs

SOURCE_TERMS - A list of terms or a path to a file containing terms to map.
TARGET_ONTOLOGY - (Optional) The standard ontology to map to (e.g., "SKOS", "Dublin Core", "Schema.org"). Default: "SKOS".

Workflow

Analyze: Review the SOURCE_TERMS to understand their local context and usage.
Search: Look up potential matches in the TARGET_ONTOLOGY spec.
Map: suggest:
- Exact Match (skos:exactMatch)
- Broader Match (skos:broader)
- Narrower Match (skos:narrower)
- Related Match (skos:related)

Output

A mapping table (Markdown or CSV) linking Input Term -> Target URI/Term -> Relation Type.