Zhou, D., Zhou, B., Zheng, Z. , Kostylev, E. V., Cheng, G., Jimenez-Ruiz, E. 
ORCID: 0000-0002-9083-4599, Soylu, A. & Kharlamov, E. (2022).
Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case.
Paper presented at the The Semantic Web: ESWC 2022 Satellite Events, 29 May - 2 Jun 2022, Crete, Greece.
doi: 10.1007/978-3-031-11609-4_45
Abstract
In the context of Industry 4.0 [1] and Internet of Things (IoT) [2], modern manufacturing and production [3, 4] lines are equipped with software systems and sensors that constantly collect and send a high volume of data.
| Publication Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | This version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-031-11609-4_8. Use of this Accepted Version is subject to the publisher's Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/polocoes/accepted-manuscript-terms. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science |
| Departments: | School of Science & Technology > Computer Science |
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