Actions
shareshare link cite add Please grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added 0 works in your ORCID record related to the merged Research product.
See an issue? Give us feedback
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
Publication . Conference object . 2021
OSMO: Ontology for simulation, modelling, and optimization
Horsch, Martin Thomas; Toti, Daniele; Chiacchiera, Silvia; Seaton, Michael A.; Goldbeck, Gerhard; Todorov, Ilian T.;
Horsch, Martin Thomas; Toti, Daniele; Chiacchiera, Silvia; Seaton, Michael A.; Goldbeck, Gerhard; Todorov, Ilian T.;
Open Access English
Published: 23 Aug 2021
Country: United Kingdom
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).
Subjects
F343, G120, G160, H130, I260, I420, applied ontology, simulation workflows, research data provenance, process data technology, MODA (Model Data), OSMO, Elementary Multiperspective Material Ontology (EMMO)
F343, G120, G160, H130, I260, I420, applied ontology, simulation workflows, research data provenance, process data technology, MODA (Model Data), OSMO, Elementary Multiperspective Material Ontology (EMMO)
Related Organizations
- University of Central Lancashire United Kingdom
See an issue? Give us feedback
Funded by
Download fromView all 4 sources
Do the share buttons not appear? Please make sure, any blocking addon is disabled, and then reload the page.