What is an Ontology? - Definition & Meaning
Learn what an ontology is in AI and data, how concepts and relations are formally defined, and why ontologies are the foundation for knowledge graphs.
Definition
An ontology is a formal, machine-readable definition of concepts, their properties, and the relationships between them within a domain. It serves as a schema for knowledge representation and ensures shared semantics.
Technical explanation
Ontologies specify classes (types), properties (attributes), and relationships. Languages: RDF, RDFS, OWL. A taxonomy is a hierarchy of concepts (is-a); an ontology adds relationships, constraints, and logical rules. Examples: schema.org for web content, SNOMED for medicine, Dublin Core for metadata. Ontologies enable interoperability, support reasoners for logical inference, and form the basis for knowledge graphs.
How AVARC Solutions applies this
AVARC Solutions designs ontologies for client-specific domains — product catalogs, process models, or compliance taxonomies. We use them as the foundation for knowledge graphs, semantic search, and data integration.
Practical examples
- An e-commerce ontology with classes Product, Category, Brand and relations like "belongs to", "is similar to".
- A compliance ontology modeling rules, risks, and controls for audit and reporting tools.
- A content ontology for a publisher with Article, Author, Topic and publication relations.
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