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SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0

Sadeer Beden, Qiushi Cao, Arnold Beckmann Orcid Logo

Information, Volume: 12, Issue: 8, Pages: 304 - 18

Swansea University Authors: Sadeer Beden, Qiushi Cao, Arnold Beckmann Orcid Logo

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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...

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Published in: Information
ISSN: 2078-2489
Published: MDPI AG 2021
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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.
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

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