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SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0
Information, Volume: 12, Issue: 8, Pages: 304 - 18
Swansea University Authors:
Sadeer Beden, Qiushi Cao, Arnold Beckmann
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Copyright: © 2021 by the authors. This is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
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DOI (Published version): 10.3390/info12080304
Abstract
This paper introduces the Steel Cold Rolling Ontology (SCRO) to model and capture domain knowledge of cold rolling processes and activities within a steel plant. A case study is set up that uses real-world cold rolling data sets to validate the performance and functionality of SCRO. This includes us...
| Published in: | Information |
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| ISSN: | 2078-2489 |
| Published: |
MDPI AG
2021
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa57654 |
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| Abstract: |
This paper introduces the Steel Cold Rolling Ontology (SCRO) to model and capture domain knowledge of cold rolling processes and activities within a steel plant. A case study is set up that uses real-world cold rolling data sets to validate the performance and functionality of SCRO. This includes using the Ontop framework to deploy virtual knowledge graphs for data access, data integration, data querying, and condition-based maintenance purposes. SCRO is evaluated using OOPS!, the ontology pitfall detection system, and feedback from domain experts from Tata Steel. |
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| Keywords: |
Industry 4.0; steelmaking; cold rolling; ontology; Ontop |
| College: |
Faculty of Science and Engineering |
| Funders: |
EPSRC. S. Beden was supported by the Engineering and Physical Sciences Research Council (grant number EP/T517537/1) and by Tata Steel. Q. Cao and A. Beckmann (in part) were supported by the Engineering and Physical Sciences Research Council (grant number EPSRC EP/S018107/1). |
| Issue: |
8 |
| Start Page: |
304 |
| End Page: |
18 |