Semantic Knowledge Management for Materials: the benefits of a FAIR data and model-based approach in industrial research and development
Year: 2024
Type: article
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.
Authors: Adamovic, Nadja, Bleken, Francesca L., Calvio, Alessandro, Cantrill, Vikki, Beber, Vinicius Carrillo, Courtney, Seán, Eklund, Anders, Goldbeck, Gerhard, Ekaputra, Fajar J., Foschini, Luca, Friis, Jesper, GHEDINI, EMANUELE, Hagelien, Thomas F., Budi Herwanto, Guntur, Konchakova, Natalia, Höche, Daniel, Leite Cavalcanti, Welchy, Mora, Alessio, Noeske, Michael, Piroi, Florina, Schiffels, Peter, Simperler, Alexandra, Stijven, Sean
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: European Commission
OpenAlex ID: W6930434696
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