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An ontology defines formal concepts, their properties and relationships within a domain model. It provides a shared vocabulary for data integration, interoperability and semantic querying.
Ontologies are formal, machine-readable models that precisely describe concepts, relations and rules of a domain. They harmonize data, enable semantic queries and improve interoperability across systems. Ontology engineering combines domain expertise with technical representations.
Percentage of relevant terms covered by the ontology.
How many concepts are used across multiple systems or reports.
Number of semantic inconsistencies or modelling errors after changes.
A widely used vocabulary for structuring web content and entities.
A lightweight ontology model describing people and their relationships.
An extensive standardized ontology for clinical terms and codings.
Inventory domain terms and schemas.
Create an initial ontology model with core entities.
Implement mappings and validation rules.
Establish governance and release procedures.