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Knowledge graph construction and maintenance process: Design challenges for industrial maintenance support
University of Oulu, Finland.ORCID iD: 0000-0002-8214-3181
University of Oulu, Finland.ORCID iD: 0000-0003-1886-8521
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Digital Services and Systems. University of Oulu, Finland.ORCID iD: 0000-0002-7477-0783
Valmet Automation, Finland.ORCID iD: 0000-0002-1458-7960
2022 (English)In: BIR 2022 Workshops and Doctoral Consortium: Joint Proceedings of the BIR 2022 Workshops and Doctoral Consortium / [ed] Hasan Koç; Janis Stirna; Kurt Sandkuhl; Ulf Seigerroth; Mārīte Kirikova; Peter Forbrig; Charles Møller; Anne Gutschmidt; Björn Johansson, CEUR-WS , 2022, p. 1-13Conference paper, Published paper (Refereed)
Abstract [en]

Knowledge graphs (KGs) structure knowledge to develop intelligent systems in several application domains. Industrial maintenance support requires knowledge and expertise on a variety of aspects of the factory, machinery, and components. However, the actual creation and maintenance process of KGs has remained unelaborated. We review the KG literature to integrate previous models into one process model also incorporating knowledge engineering principles within. The literature review and a subsequent case study together represent the problem and objectives definition phases of a design science project. The contributions include the integrated process model for KG creation and maintenance and the initially observed design challenges in the KG process operationalisation in a context of supporting industrial maintenance.

Place, publisher, year, edition, pages
CEUR-WS , 2022. p. 1-13
Series
CEUR Workshop Proceedings (CEUR-WS), ISSN 1613-0073 ; 3223
Keywords [en]
knowledge base, knowledge engineering, knowledge graph, knowledge graph construction process
National Category
Computer Sciences
Research subject
Information systems
Identifiers
URN: urn:nbn:se:ltu:diva-94795Scopus ID: 2-s2.0-85139852598OAI: oai:DiVA.org:ltu-94795DiVA, id: diva2:1718058
Conference
21st International Conference on Perspectives in Business Informatics Research (BIR 2022), Rostock, Germany, September 20-23, 2022
Available from: 2022-12-12 Created: 2022-12-12 Last updated: 2022-12-12Bibliographically approved

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Päivärinta, Tero

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Teern, AnnaKelanti, MarkusPäivärinta, TeroKaraila, Mika
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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