SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0
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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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/12/8/304 |
| _version_ | 1797523481843204096 |
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| author | Sadeer Beden Qiushi Cao Arnold Beckmann |
| author_facet | Sadeer Beden Qiushi Cao Arnold Beckmann |
| author_sort | Sadeer Beden |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T08:43:36Z |
| format | Article |
| id | doaj.art-1a74829fce2d43319ba8329b3b205895 |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-10T08:43:36Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-1a74829fce2d43319ba8329b3b2058952023-11-22T08:05:50ZengMDPI AGInformation2078-24892021-07-0112830410.3390/info12080304SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0Sadeer Beden0Qiushi Cao1Arnold Beckmann2Department of Computer Science, Swansea University, Swansea SA2 8PP, UKDepartment of Computer Science, Swansea University, Swansea SA2 8PP, UKDepartment of Computer Science, Swansea University, Swansea SA2 8PP, UKThis 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.https://www.mdpi.com/2078-2489/12/8/304Industry 4.0steelmakingcold rollingontologyOntop |
| spellingShingle | Sadeer Beden Qiushi Cao Arnold Beckmann SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0 Information Industry 4.0 steelmaking cold rolling ontology Ontop |
| title | SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0 |
| title_full | SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0 |
| title_fullStr | SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0 |
| title_full_unstemmed | SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0 |
| title_short | SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0 |
| title_sort | scro a domain ontology for describing steel cold rolling processes towards industry 4 0 |
| topic | Industry 4.0 steelmaking cold rolling ontology Ontop |
| url | https://www.mdpi.com/2078-2489/12/8/304 |
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