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    Ontology

    Data integration & searchformal conceptual model
    Reading time: 2 min.Editorially reviewed on:

    Definition

    An ontology describes concepts and their relationships within a domain of knowledge.

    An explicit description of concepts, relationships, and possibly rules of a knowledge domain.

    Simply explained

    An ordered concept network shows what things exist and how they are related.

    Why it matters in practice

    An ontology creates common concepts and relationships for a knowledge domain. This facilitates consistent search and linking of operational information.

    Example from business

    Products, components, types of faults, and relationships are uniformly modeled for search and integration.

    Limits and pitfalls

    • Equating ontology with taxonomy or database schema and forgetting maintenance responsibility.

    Origin & history

    Ontologies originate from philosophy and knowledge representation; RDF and OWL made them machine-readable in the Semantic Web.

    Use in mid-sized companies

    • Possible example: Products, components, types of faults, and relationships are uniformly modeled for search and integration.

    Frequently asked questions

    What does ontology mean?

    An explicit description of concepts, relationships, and possibly rules of a knowledge domain.

    Which mistakes should be avoided?

    Equating ontology with taxonomy or database schema and forgetting maintenance responsibility.

    Sources

    Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.

    Editorially reviewed on:

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    Next step

    Put knowledge into practice