Ontology

An Ontology is a formal model of concepts in a domain and the relationships between them — more expressive than a taxonomy because it captures not just hierarchy but rich relationships ("is-a," "part-of," "causes," "manufactured-by"). Ontologies enable AI systems to reason about data rather than just retrieve it. Famous examples include the Gene Ontology (biological functions), SNOMED CT (clinical concepts), schema.org (web entities), Friend-of-a-Friend (FOAF, social relationships), and the Wikidata knowledge graph. Standards include W3C OWL (Web Ontology Language) and RDF (Resource Description Framework). Ontologies underpin knowledge graphs, semantic search, healthcare interoperability (HL7 FHIR), and increasingly Graph-RAG systems that combine LLMs with structured ontological knowledge. Tools include Protégé, TopBraid Composer, Stardog, and Neo4j (with ontology extensions). AI governance, AI compliance, and AI risk management programs use ontologies to capture regulatory relationships and risk dependencies — supporting responsible AI through formal, machine-readable knowledge models across enterprise AI environments.

Centralpoint Integrates Ontologies Into AI Workflows: Oxcyon's Centralpoint AI Governance Platform connects ontology-aware retrieval with model-agnostic LLM access — OpenAI, Gemini, Llama, embedded. Centralpoint meters consumption, keeps prompts and skills on-prem, and embeds ontology-powered chatbots into your portals via a single JavaScript line.


Related Keywords:
Ontology,,