Semantic Knowledge Management for Materials: the benefits of a FAIR data and model-based approach in industrial research and development

Authors: Adamovic, Nadja; Bleken, Francesca L.; Calvio, Alessandro; Cantrill, Vikki; Beber, Vinicius Carrillo; Courtney, Seán; Eklund, Anders; +16 Authors

doi: 10.5281/zenodo.13304677 , 10.5281/zenodo.13304676 , 10.24406/publica-3589

Semantic Knowledge Management for Materials: the benefits of a FAIR data and model-based approach in industrial research and development

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Abstract

This paper discusses the benefit for materials industries to adopt Semantic Knowledge Management (SKM) into its research and development functions and beyond. The approach and results of the OntoTrans project are presented, combining SKM with a data- and model-based approach to address complex innovation challenges. The approach translates innovation cases into semantic models that, in turn, are connected to a multitude of data sources and models to arrive at a system in which data and knowledge about innovation cases can be queried by research scientists, engineers and managers.

Related Organizations

Alma Mater Studiorum University of Bologna
Italy
Helmholtz Association of German Research Centres
Germany
TU Wien
Austria
Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
Germany

Keywords

FOS: Computer and information sciences, FAIR data, Artificial intelligence, Knowledge Management, Computer and information sciences, Ontology, Materials Science, Simulation software, Semantic web, Knowledge engineering

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