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How do ontologies support interoperability in metrology? 


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Ontologies play a crucial role in supporting interoperability in metrology by harmonizing information flow, facilitating collaboration, and ensuring unambiguous communication. They enable the integration of implicit knowledge within heterogeneous systems, addressing issues of interoperability and enhancing data sharing. Ontology mapping, which establishes formal relations between knowledge entities representing similar meanings in distinct ontologies, is essential for resolving heterogeneities and supporting interoperability. By developing ontologies that focus on measurement processes and uncertainties, metrology can benefit from semantically meaningful, reusable, and easily accessible information, ultimately improving the quality of measurement results and processes. Additionally, the development of domain-agnostic measurement ontologies, such as DAMO, facilitates the organization of scientific and engineering digital resources, further enhancing interoperability in metrology.

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Ontologies aid in metrology interoperability by structuring data, supporting text mining, and developing semantic dictionaries for trans-disciplinary references, enhancing data sharing and services.
Ontologies, like the domain-agnostic measurement ontology (DAMO), facilitate interoperability in metrology by unifying measurement data organization and enabling knowledge sharing and data curation through semantic web technologies.
Ontologies in metrology enhance interoperability by harmonizing information flow, standardizing concepts, and facilitating unambiguous communication among manufacturing enterprises, as demonstrated in the MENTOR methodology.
Ontologies aid interoperability in metrology by organizing measurement process metadata and uncertainty information in a semantically meaningful, reusable, and easily accessible form, enhancing data interpretation and quality assessment.

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