Ontology Modelling for Materials Science Experiments

Abstract

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 e_orts 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.

Description
Keywords
Materials Science, Ontology Design, Data Curation, Konferenzschrift
Citation
Alam, M., Birkholz, H., Dessì, D., Eberl, C., Fliegl, H., Gumbsch, P., et al. (2021). Ontology Modelling for Materials Science Experiments (I. Tiddi, M. Maleshkova, T. Pellegrini, & V. de Boer, eds.). Aachen, Germany : RWTH Aachen.
License
CC BY 4.0 Unported