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Ontology modelling for materials science experiments

Alam, Mehwish; Birkholz, Henk; Dessì, Danilo; Eberl, Christoph; Fliegl, Heike; Gumbsch, Peter; Hartrott, Philipp von; Mädler, Lutz; Niebel, Markus; Sack, Harald; Thomas, Akhil


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.

Verlagsausgabe §
DOI: 10.5445/IR/1000137782
Veröffentlicht am 22.09.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Institut für Nanotechnologie (INT)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1613-0073
KITopen-ID: 1000137782
HGF-Programm 43.31.01 (POF IV, LK 01) Multifunctionality Molecular Design & Material Architecture
Erschienen in SemanticsP&Ds 2021: Semantics Compound Volume 2021 ; 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 ; Amsterdam and Online, September 6-9, 2021. Ed.: I. Tiddi
Verlag RWTH Aachen
Serie CEUR Workshop Proceedings ; 2941
Schlagwörter Materials Science, Ontology Design, Data Curation
Nachgewiesen in Scopus
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