Knowledge graph construction and maintenance process : design challenges for industrial maintenance support |
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Author: | Teern, Anna1; Kelanti, Markus1; Päivärinta, Tero1,2; |
Organizations: |
1University of Oulu, Finland 2University of Luleå, Sweden 3Valmet Automation, Finland |
Format: | article |
Version: | published version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.3 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2022102763383 |
Language: | English |
Published: |
RWTH Aachen University,
2022
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Publish Date: | 2022-10-27 |
Description: |
AbstractKnowledge 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. see all
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Series: |
CEUR workshop proceedings |
ISSN: | 1613-0073 |
ISSN-E: | 1613-0073 |
ISSN-L: | 1613-0073 |
Issue: | 3223 |
Pages: | 1 - 13 |
Host publication: |
BIR 2022 Workshops and Doctoral Consortium : joint proceedings of the BIR 2022 Workshops and Doctoral Consortium co-located with 21st International Conference on Perspectives in Business Informatics Research (BIR 2022) Rostock, Germany, September 20-23, 2022 |
Host publication editor: |
Koç, Hasan Stirna, Janis Sandkuhl, Kurt Seigerroth, Ulf Kirikova , Mārīte Forbrig, Peter Møller, Charles Gutschmidt, Anne Johansson, Björn |
Conference: |
BIR Workshops and Doctoral Consortium |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
113 Computer and information sciences |
Subjects: | |
Funding: |
The research was supported by an ITEA project Oxilate. |
Copyright information: |
© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). |
https://creativecommons.org/licenses/by/4.0/ |