Design formal ontologies using OWL/RDFS. Defines classes, properties, and relationships for complex semantic modeling.
Design formal ontologies using OWL/RDFS. Defines classes, properties, and relationships for complex semantic modeling.
npx skills add https://github.com/dandye/information-architecture --skill ontology-define复制此命令并粘贴到 Claude Code 中以安装该技能
| name | ontology-define |
| description | Design formal ontologies using OWL/RDFS. Defines classes, properties, and relationships for complex semantic modeling. |
| required_roles | {"scribe":"roles/scribe.editor"} |
| personas | ["ontologist","knowledge-engineer","information-architect"] |
Create a formal ontology definition to model complex domains. This skill goes beyond simple taxonomies by defining classes, object properties, datatype properties, and logical restrictions using standards like OWL (Web Ontology Language) and RDFS (Resource Description Framework Schema).
DOMAIN_DESCRIPTION - Description of the domain to model (e.g., "University System" or path to documentation).FORMAT - (Optional) Output format: "turtle", "rdfxml", "json-ld", "manchester" (default: "turtle").BASE_URI - (Optional) Base URI for the ontology (e.g., "http://example.org/ontology/").STRICTNESS - (Optional) Level of logical rigor: "rdfs", "owl-lite", "owl-dl" (default: "owl-lite").Analyze the DOMAIN_DESCRIPTION to identify key entities and relationships.
Professor, Course, Student).Define properties with domain and range constraints.
teaches relates Professor to Course).hasCredits relates Course to Integer).Organize classes and properties into hierarchies (subClassOf, subPropertyOf).
STRICTNESS (e.g., "A Course must be taught by at least one Professor").Generate the ontology file in the requested FORMAT.
An ONTOLOGY_FILE content in the specified FORMAT.
Example (Turtle):
@prefix : <http://example.org/uni/> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
:UniversityOntology a owl:Ontology .
:Person a owl:Class .
:Student a owl:Class ;
rdfs:subClassOf :Person .
:enrolledIn a owl:ObjectProperty ;
rdfs:domain :Student ;
rdfs:range :Course .
Normalize named entities and concept variants into canonical forms using controlled vocabularies or standard taxonomies.
Analyze vocabulary overlap and identify named entities unique to domain/document corpora.
Transform lengthy documents into a semantic tree structure. It extracts sections, summaries, and hierarchies optimized for use with Large Language Models (LLMs).
Systematic cataloging of information assets. Creates comprehensive inventories or card sorting materials from content.
Generate JSON-LD structured data for web content. Maps content to Schema.org types to improve search engine understanding and rich result eligibility.
Analyze multiple documents to extract entities and relationships, generating a knowledge graph structure (RDF/Turtle).