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Ontology Modelling for Materials Science Experiments


Ontology Modelling for Materials Science Experiments



Published: 2021 September
Herausgeber: Ilaria Tiddi, Maria Maleshkova, Tassilo Pellegrini, Victor de Boer
Buchtitel: Joint Proceedings of the Semantics co-located events: Poster&Demo track and Workshop on Ontology-Driven Conceptual Modelling of Digital Twins co-located with Semantics 2021
Ausgabe: Vol-2941
Verlag: CEUR workshop
Erscheinungsort: Amsterdam und online
Organisation: Semantics 2021

Referierte Veröffentlichung

BibTeX

Kurzfassung
Materials are either enabler or bottleneck for the vast majority of technological innovations. The digitization of materials and processes is mandatory to create live production environments which represent physical entities and their aggregations and thus allow to represent, share, and understand materials changes. However, a common standard formalization for materials knowledge in the form of taxonomies, ontologies, or knowledge graphs has not been achieved yet. This paper sketches the efforts in modelling an ontology prototype to describe Materials Science experiments. It describes what is expected from the ontology by introducing a use case where a process chain driven by the ontology enables the curation and understanding of experiments.

ISSN: 1613-0073
Download: Media:Ontology Modelling for Materials Science Experiment.pdf
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Forschungsgruppe

Information Service Engineering


Forschungsgebiet