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Mechanical testing ontology for digital-twins: A roadmap based on EMMO

: Morgado, J.F.; Ghedini, E.; Goldbeck, G.; Hashibon, A.; Schmitz, G.J.; Friis, J.; Baas, A.F. de

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Garcia-Castro, R.:
International Workshop on Semantic Digital Twins, SeDiT 2020. Proceedings. Online resource : Co-located with the 17th Extended Semantic Web Conference (ESWC 2020), Heraklion, Greece, June 3, 2020
Heraklion, 2020 (CEUR Workshop Proceedings 2615)
Paper 3, 10 S.
International Workshop on Semantic Digital Twins (SeDiT) <2020, Online>
Extended Semantic Web Conference (ESWC) <17, 2020, Online>
European Commission EC
H2020; 760173; MarketPlace
Materials Modelling Marketplace for Increased Industrial Innovation
European Commission EC
H2020; 721027; FORCE
Formulations and Computational Engineering
European Commission EC
H2020; 760287; OYSTER
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IWM ()
digitalisation; EMMO; interoperability; knowledge base; materials science; Ontology

The enormous amount of materials data currently generated by high throughput experiments and computations poses a significant challenge in terms of data integration and sharing. A common ontology lays the foundation for solving this issue, enabling semantic interoperability of models, experiments, software and data which is vital for a more rational and efficient development of novel materials. This paper is based on the current efforts by the European Materials Modelling Council (EMMC) on establishing common standards for materials through the European Materials & Modelling Ontology (EMMO) and demonstrates the application of EMMO to the mechanical testing field. The focus of this paper is to outline the approach to develop EMMO compliant domain ontologies.