Ontology Engineering is the discipline of designing, formalizing, and maintaining ontologies: explicit, machine-readable specifications of concepts, properties, and relationships within a domain. It applies methodologies and logic languages such as OWL and RDFS to produce consistent, reusable, and reasoning-capable knowledge models. The field underpins semantic interoperability, knowledge graphs, and automated inference across heterogeneous data sources.
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- Practitioners define classes, properties, and axioms that enable automated reasoning and consistency checking. Robust ontologies support interoperability standards, data integration, and the kind of shared vocabularies that domains such as robotics rely on to exchange meaning unambiguously.