Hippolyte, J L; Duncan, P; Bevilacqua, M; Chrubasik, M (2022) Ontologies for Experimental Mechanics. In: 16th International Conference on Advances in Experimental Mechanics, 06-08 September 2022, Oxford, UK.

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Abstract

This paper deals with the development of ontologies for data integration in the large-scale mechanical testing facilities required by the aircraft industry. Ontologies can help unify models from various data sources by formalising a consensus knowledge base of measurement techniques, regardless of the specific characteristics of sensors, testbeds, or software systems. The authors developed a network of ontologies to support the exchange of measurement data produced by mechanical testing experiments.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	ontology, mechanical testing, point-based measurement
Subjects:	Mathematics and Scientific Computing > Software Engineering
Divisions:	Data Science
Last Modified:	17 Nov 2023 10:49
URI:	https://eprintspublications.npl.co.uk/id/eprint/9865