Ontologies for the Virtual Materials Marketplace
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Ontologies for the Virtual Materials Marketplace Martin Thomas Horsch1 · Silvia Chiacchiera1 · Michael A. Seaton1 · Ilian T. Todorov1 · Karel Šindelka2 · Martin Lísal2 · Barbara Andreon3 · Esteban Bayro Kaiser3 · Gabriele Mogni4 · Gerhard Goldbeck4 · Ralf Kunze5 · Georg Summer5 · Andreas Fiseni5 · Hauke Brüning6 · Peter Schiffels6 · Welchy Leite Cavalcanti6 Received: 29 November 2019 / Accepted: 13 February 2020 © Gesellschaft für Informatik e.V. and Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract The Virtual Materials Marketplace (VIMMP) project, which develops an open platform for providing and accessing services related to materials modelling, is presented with a focus on its ontology development and data technology aspects. Within VIMMP, a system of marketplace-level ontologies is developed to characterize services, models, and interactions between users; the European Materials and Modelling Ontology is employed as a top-level ontology. The ontologies are used to annotate data that are stored in the ZONTAL Space component of VIMMP and to support the ingest and retrieval of data and metadata at the VIMMP marketplace frontend. Keywords Ontology · Data management · Interoperability · Semantic technology · EMMO
The Virtual Materials Marketplace (VIMMP) project is funded from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 760907. * Martin Thomas Horsch [email protected] Silvia Chiacchiera [email protected] Michael A. Seaton [email protected] Ilian T. Todorov [email protected]
Georg Summer [email protected] Andreas Fiseni [email protected] Hauke Brüning [email protected] Peter Schiffels [email protected]
Karel Šindelka [email protected]
Welchy Leite Cavalcanti [email protected]
Martin Lísal [email protected]
1
Barbara Andreon [email protected]
STFC Daresbury Laboratory, Keckwick Ln, Daresbury, Cheshire WA4 4AD, UK
2
Department of Molecular and Mesoscopic Modelling, Institute of Chemical Process Fundamentals of the Czech Academy of Sciences, v.v.i., Rozvojová 135/1, Suchdol, 165 02 Prague 6, Czech Republic
3
WearHealth UG, Fahrenheitstr. 1, 28359 Bremen, Germany
4
Goldbeck Consulting Ltd, St John’s Innovation Centre, Cowley Rd, Cambridge CB4 0WS, UK
5
Osthus GmbH, Eisenbahnweg 9‑11, 52068 Aachen, Germany
6
Fraunhofer Institute for Manufacturing Technology and Advanced Materials, Wiener Str. 12, 28359 Bremen, Germany
Esteban Bayro Kaiser [email protected] Gabriele Mogni gabriele@goldbeck‑consulting.com Gerhard Goldbeck gerhard@goldbeck‑consulting.com Ralf Kunze [email protected]
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1 Introduction In mechanical and process engineering, the digitalization of industrial manufacturing and process design is strongly tied to innovations in process data technology [1–4]. In this context, semantic technology (e.g., data management based on ontologies) is
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