Abstract
Knowledge graphs have been recognized in manufacturing as a suitable technology for integration of multidisciplinary knowledge from heterogeneous data sources. The effective reuse of this knowledge can better inform stakeholders in their decision making processes and consequently, establish a competitive advantage. In contrast to the utilization of knowledge graphs for autonomous decision making systems, less attention in production research has been given to the creative participation of humans in the exploration of manufacturing knowledge graphs. Exploratory search systems are a promising solution to facilitate this participation. However, most exploratory search systems focus on general knowledge graphs for which common knowledge is sufficient. We argue that within the complex environment of manufacturing, closer attention has to be paid to particular exploratory search features. In this paper, we therefore present a configurable and adaptive exploratory search system, which implements three special features. Firstly, adaptability of the system to multiple (engineering) perspectives. Secondly, visibility of provenance details about statements to simplify investigative work. And finally, a tree view for browsing deep hierarchical structures.
Original language | English |
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Title of host publication | Proceedings of the Seventh International Workshop on the Visualization and Interaction for Ontologies and Linked Data |
Subtitle of host publication | co-located with the 21st International Semantic Web Conference (ISWC 2022) |
Editors | Bo Fu, Patrick Lambrix, Catia Pesquita |
Place of Publication | Aachen |
Publisher | CEUR WS |
Pages | 16-28 |
Number of pages | 13 |
Volume | 3253 |
Publication status | Published - 2022 |
Event | 7th International Workshop on the Visualization and Interaction for Ontologies and Linked Data, VOILA! 2022 - Virtual, Hangzhou, China Duration: 23 Oct 2022 → … |
Publication series
Series | CEUR Workshop Proceedings |
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Volume | 3253 |
ISSN | 1613-0073 |
Conference
Conference | 7th International Workshop on the Visualization and Interaction for Ontologies and Linked Data, VOILA! 2022 |
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Country/Territory | China |
City | Virtual, Hangzhou |
Period | 23/10/22 → … |
Bibliographical note
Funding Information:This work is supported by European Union's Horizon 2020 research project OntoTrans under Grant Agreement No 862136.
Publisher Copyright:
© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
urn:nbn:de:0074-3253-0
Keywords
- exploratory search
- industry 4.0
- knowledge graph