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Ontology modelling for materials science experiments

  • Mehwish Alam
  • , Henk Birkholz
  • , Danilo Dessì
  • , Christoph Eberl
  • , Heike Fliegl
  • , Peter Gumbsch
  • , Philipp von Hartrott
  • , Lutz Mädler
  • , Markus Niebel
  • , Harald Sack
  • , Akhil Thomas
  • FIZ Karlsruhe - Leibniz Institute for Information Infrastructure
  • Institute of Meteorology and Climate Research
  • Leibniz Institute for Materials Engineering IWT
  • Fraunhofer Institute for Mechanics of Materials IWM

Résultats de recherche: Contribution à un journalArticle de conférenceRevue par des pairs

Résumé

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.

langue originaleAnglais
journalCEUR Workshop Proceedings
Volume2941
étatPublié - 1 janv. 2021
Modification externeOui
Evénement2021 Joint of the Poster and Demo Track and Workshop on Ontology-Driven Conceptual Modelling of Digital Twins, Semantics P and Ds 2021 - Amsterdam, Pays-Bas
Durée: 6 sept. 20219 sept. 2021

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