Semantic Knowledge Management for Materials
Semantic Knowledge Management for Materials: the benefits of a FAIR data and model-based approach in industrial research and development
Goldbeck Consulting, along with partners from the OntoTrans project, have prepared a paper that highlights the benefits of using Semantic Knowledge Management (SKM) in materials research and development.
Semantic data and knowledge management, central to the Semantic Web (or Web 3.0), enables machines to analyse information based on data, metadata, and their relationships. In materials science, a key advantage to this approach is the creation of a flexible, overarching data model that improves data quality, lowers costs, and facilitates easier integration of new information. The use of these technologies in business is growing due to the need for complex data integration.
Semantic Knowledge Management for Materials: the benefits of a FAIR data and model-based approach in industrial research and development
was written by Nadja Adamovic, Francesca Bleken, Alessandro Calvio, Vikki Cantrill, Vinicius Carrillo Beber, Seán Courtney, Anders Eklund, Gerhard Goldbeck*, Fajar Ekaputra, Luca Foschini, Jesper Friis, Emanuele Ghedini, Thomas Hagelien, Guntur Herwanto, Natalia Konchakova, Daniel Höche, Welchy Leite Cavalcanti, Alessio Mora, Michael Noeske, Florina Piroi, Peter Schiffels, Alexandra Simperler and Sean Stijven.
OntoTrans_OverviewPaper_FinalOr to view the paper, click here.
A version of record of this work is available here.
Acknowledgement: This work has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 862136 (OntoTrans)
