J-Park simulator : an ontology-based platform for cross-domain scenarios in process industry
The J-Park Simulator (JPS) acts as a continuously growing platform for integrating real-time data, knowledge, models, and tools related to process industry. It aims at simulation and optimization in cross-domain and multi-level scenarios and relies heavily on ontologies and semantic technologies. In...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2021
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| Online Access: | https://hdl.handle.net/10356/152288 |
| _version_ | 1824455217668685824 |
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| author | Eibeck, Andreas Lim, Mei Qi Kraft, Markus |
| author2 | School of Chemical and Biomedical Engineering |
| author_facet | School of Chemical and Biomedical Engineering Eibeck, Andreas Lim, Mei Qi Kraft, Markus |
| author_sort | Eibeck, Andreas |
| collection | NTU |
| description | The J-Park Simulator (JPS) acts as a continuously growing platform for integrating real-time data, knowledge, models, and tools related to process industry. It aims at simulation and optimization in cross-domain and multi-level scenarios and relies heavily on ontologies and semantic technologies. In this paper, we demonstrate the interoperability between different applications in JPS, introduce new domain ontologies into the JPS, and integrate live data. For this, we utilize a knowledge graph to store and link semantically described data and models and create agents wrapping the applications and updating the data in the knowledge graph dynamically. We present a comprehensive industrial air pollution scenario, which has been implemented as part of the JPS, to show how knowledge graphs and modular domain ontologies support the interoperability between agents. We show that the architecture of JPS increases the interoperability and flexibility in cross-domain scenarios and conclude that the potential of ontologies outweighs additional wrapping efforts. |
| first_indexed | 2025-02-19T03:34:42Z |
| format | Journal Article |
| id | ntu-10356/152288 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:34:42Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | ntu-10356/1522882023-12-29T06:53:52Z J-Park simulator : an ontology-based platform for cross-domain scenarios in process industry Eibeck, Andreas Lim, Mei Qi Kraft, Markus School of Chemical and Biomedical Engineering Cambridge Centre for Advanced Research and Education in Singapore (CARES) Engineering::Chemical engineering Industry 4.0 Ontology The J-Park Simulator (JPS) acts as a continuously growing platform for integrating real-time data, knowledge, models, and tools related to process industry. It aims at simulation and optimization in cross-domain and multi-level scenarios and relies heavily on ontologies and semantic technologies. In this paper, we demonstrate the interoperability between different applications in JPS, introduce new domain ontologies into the JPS, and integrate live data. For this, we utilize a knowledge graph to store and link semantically described data and models and create agents wrapping the applications and updating the data in the knowledge graph dynamically. We present a comprehensive industrial air pollution scenario, which has been implemented as part of the JPS, to show how knowledge graphs and modular domain ontologies support the interoperability between agents. We show that the architecture of JPS increases the interoperability and flexibility in cross-domain scenarios and conclude that the potential of ontologies outweighs additional wrapping efforts. National Research Foundation (NRF) Accepted version This project is funded by the National Research Foundation (NRF), Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme. MK gratefully acknowledges the support of the Alexander von Humboldt foundation. 2021-07-29T02:35:25Z 2021-07-29T02:35:25Z 2019 Journal Article Eibeck, A., Lim, M. Q. & Kraft, M. (2019). J-Park simulator : an ontology-based platform for cross-domain scenarios in process industry. Computers and Chemical Engineering, 131, 106586-. https://dx.doi.org/10.1016/j.compchemeng.2019.106586 0098-1354 https://hdl.handle.net/10356/152288 10.1016/j.compchemeng.2019.106586 2-s2.0-85073569924 131 106586 en Computers and Chemical Engineering © 2019 Elsevier Ltd. All rights reserved. This paper was published in Computers and Chemical Engineering and is made available with permission of Elsevier Ltd. application/pdf |
| spellingShingle | Engineering::Chemical engineering Industry 4.0 Ontology Eibeck, Andreas Lim, Mei Qi Kraft, Markus J-Park simulator : an ontology-based platform for cross-domain scenarios in process industry |
| title | J-Park simulator : an ontology-based platform for cross-domain scenarios in process industry |
| title_full | J-Park simulator : an ontology-based platform for cross-domain scenarios in process industry |
| title_fullStr | J-Park simulator : an ontology-based platform for cross-domain scenarios in process industry |
| title_full_unstemmed | J-Park simulator : an ontology-based platform for cross-domain scenarios in process industry |
| title_short | J-Park simulator : an ontology-based platform for cross-domain scenarios in process industry |
| title_sort | j park simulator an ontology based platform for cross domain scenarios in process industry |
| topic | Engineering::Chemical engineering Industry 4.0 Ontology |
| url | https://hdl.handle.net/10356/152288 |
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