Ontologies
MSO-EM
MSO-EM: Ontologies for modelling, simulation, optimization (MSO) and epistemic metadata (EM) (MSO-EM)
OWL
Last submission date February 25, 2025
ID https://www.purl.org/mso-em
https://www.purl.org/mso-em
https://lovportal.lirmm.fr/ontologies/MSO-EM/mso-em
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Type Vocabulary, http://www.w3.org/2002/07/owl#Ontology
creator Martin Thomas Horsch (ORCID 0000-0002-9464-6739)
publisher BatCAT consortium (Horizon Europe GA no. 101137725)
source http://www.molmod.info/semantics/pims-ii.ttl
preferredNamespacePrefix mso-em
preferredNamespaceUri https://www.purl.org/mso-em#
versionIRI https://batcat.info/semantics/mso-em-2024-07/
useImports https://www.purl.org/mso-em-agency, https://www.purl.org/mso-em-dol-inclusions
created 2024
versionInfo MSO-EM ontologies: Version dated July 2024
description MSO-EM is a system of ontologies for documenting the knowledge status of models and data; the aim is to make models and data explainable-AI-ready (XAIR).
issued 2024-07-10
license https://creativecommons.org/licenses/by-nd/4.0/
title MSO-EM: Ontologies for modelling, simulation, optimization (MSO) and epistemic metadata (EM)
status http://purl.org/info:eu-repo/semantics/publishedVersion
bibliographicCitation M. T. Horsch, S. Chiacchiera, I. T. Todorov, A. T. Correia, A. Dey, N. A. Konchakova, S. Scholze, S. Stephan, K. Tøndel, A. Sarkar, M. H. Karray, F. Al Machot, B. Schembera, 'Exploration of key concepts required for mid- and domain-level ontology development to facilitate explainable-AI-readiness of data and models,' submitted, 2024.