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OSMO: Ontology for Simulation, Modelling, and Optimization

Authors: Horsch, Martin Thomas; Toti, Daniele; Chiacchiera, Silvia; Seaton, Michael A.; Goldbeck, Gerhard; Todorov, Ilian T.;

OSMO: Ontology for Simulation, Modelling, and Optimization

Abstract

This work describes the ontology OSMO, i.e., an ontologization and extension of MODA, a workflow metadata standard that constitutes a mandatory requirement within a number of European calls and projects in the context of materials modelling. OSMO was developed within the Horizon 2020 project VIMMP (Virtual Materials Marketplace) and is part of a larger effort in ontology engineering driven by the European Materials Modelling Council, with the Elementary Multiperspective Material Ontology (EMMO) as its core. As such, OSMO provides connections and alignments with other related domain ontologies in computational engineering, including the EMMO itself. This work summarizes the domain, purpose, and design choices underlying OSMO, commenting on the implementation of OSMO and its applications.

This work was funded from the European Union's Horizon 2020 research and innovation programme through grant agreement no. 760907, Virtual Materials Marketplace; it was facilitated by activities of the Innovation Centre for Process Data Technology (Inprodat e.V.). The co-author M.T.H. acknowledges funding from DFG project no. 441926934, NFDI4Cat, within the NFDI programme of the German Joint Science Conference (GWK).

Country
Italy
Keywords

I420, G120, Elementary Multiperspective Material Ontology (EMMO), F343, Applied ontology, Research data provenance, process data technology, Simulation work.ows, applied ontology, simulation workflows, OSMO, Process data technology, research data provenance, MODA (Model Data), H130, G160, I260

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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