Collaborative and Cross-Stakeholder Ontology Engineering

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dc.identifier.uri http://dx.doi.org/10.15488/16295
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/16422
dc.contributor.author Khan, Fawad
dc.contributor.author Engel, Felix
dc.contributor.author Krdzavac, Nenad
dc.contributor.author Auer, Sören
dc.contributor.editor Arndt, Natanael
dc.contributor.editor Gründer-Fahrer, Sabine
dc.contributor.editor Holze, Julia
dc.contributor.editor Martin, Michael
dc.contributor.editor Tramp, Sebastian
dc.date.accessioned 2024-02-13T08:26:17Z
dc.date.available 2024-02-13T08:26:17Z
dc.date.issued 2023
dc.identifier.citation Khan, F.; Engel, F.; Krdzavac, N.; Auer, S.: Collaborative and Cross-Stakeholder Ontology Engineering. In: Arndt, Natanael; Gründer-Fahrer, Sabine; Holze, Julia; Martin, Michael ; Tramp, Sebastian (Eds.): D2R2 2022: Data-driven Resilience Research 2022 : proceedings of the International Workshop on Data-driven Resilience Research 2022, co-located with Data Week Leipzig 2022 (DATAWEEK 2022). Aachen, Germany : RWTH Aachen, 2023 (CEUR Workshop Proceedings ; 3376), 11.
dc.description.abstract One of the major challenges in developing ontologies is to efficiently merge domain knowledge and expert knowledge to enable efficient and effective work on formal modelling of the domain in focus. This paper outlines the current state of developments in the Semantically Connected Semiconductor Supply Chains (SC3) project and its application in the BMBF-funded Cognitive Economy Intelligence Platform for Economic Ecosystem Resilience (CoyPu) project. We are using the SC3 Ontology Platform in CoyPu to promote effective information sharing among the various stakeholders in the development of the ontology. Thus, the application of SC3 Ontology Platform is used to ensure that the knowledge of non-knowledge workers (domain experts) and knowledge workers come together efficiently. This paper first introduces the CoyPu project and the current ontology development; then the SC3 Ontology Platform and its main components are presented. The paper concludes with the analysis of a first usability evaluation. eng
dc.language.iso eng
dc.publisher Aachen, Germany : RWTH Aachen
dc.relation.ispartof D2R2 2022: Data-driven Resilience Research 2022 : proceedings of the International Workshop on Data-driven Resilience Research 2022, co-located with Data Week Leipzig 2022 (DATAWEEK 2022)
dc.relation.ispartofseries CEUR Workshop Proceedings ; 3376
dc.relation.uri https://ceur-ws.org/Vol-3376/paper11.pdf
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0
dc.subject Domain Knowledge eng
dc.subject Knowledge management eng
dc.subject Ontology eng
dc.subject Semantic Web eng
dc.subject Supply chains eng
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 004 | Informatik
dc.subject.ddc 020 | Bibliotheks- und Informationswissenschaft
dc.title Collaborative and Cross-Stakeholder Ontology Engineering eng
dc.type BookPart
dc.type Text
dc.relation.essn 1613-0073
dc.bibliographicCitation.volume 3376
dc.bibliographicCitation.firstPage 11
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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