Open Ontologies
AI-native ontology engineering. Generate OWL/RDF, validate with MCP tools, iterate until clean, and govern with a Terraform-style lifecycle. Provides tools for validation, loading, linting, SPARQL querying, SHACL validation, reasoning, alignment, versioning, and data ingestion. Suitable for building ontologies, knowledge graphs, clinical terminology crosswalks, and RDF conversions.
Key features
- Generate and validate Turtle/OWL, then load into an Oxigraph triple store.
- SHACL validation, RDFS/OWL-RL reasoning, and SPARQL query support.
- Ontology lifecycle commands: plan, enforce, apply, version, drift detection.
- Data ingestion and mapping from CSV/JSON/Parquet/XLSX/SQL.
- Clinical terminology utilities: ICD-10/SNOMED/MeSH crosswalks and enrichment.
Usage examples
- Build a pizza ontology with classes, properties, labels, and competency queries.
- Load an existing ontology (e.g. wine.rdf), run stats, lint and SPARQL queries.
- Safely evolve ontologies using plan/enforce/apply workflow.
- Ingest CSV employee data, map to ontology, validate with SHACL, and run inference.
Not yet audited
This skill has not been reviewed by our automated audit pipeline yet.