An ontology framework towards decentralized information management for eco-industrial parks
In this paper, we develop a skeletal ontology for eco-industrial parks. A topdown conceptual framework including ve operating levels (unit operations, processes, plants, industrial resource networks and eco-industrial parks) is employed to guide the design of the ontology structure. The detailed on...
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sg-ntu-dr.10356-1075842023-03-04T17:22:21Z An ontology framework towards decentralized information management for eco-industrial parks Zhou, Li Zhang, Chuan Karimi, Iftekhar A. Kraft, Markus School of Chemical and Biomedical Engineering School of Mechanical and Aerospace Engineering Eco-industrial Park Engineering::Mechanical engineering Knowledge Base In this paper, we develop a skeletal ontology for eco-industrial parks. A topdown conceptual framework including ve operating levels (unit operations, processes, plants, industrial resource networks and eco-industrial parks) is employed to guide the design of the ontology structure. The detailed ontological representation of each level is realized through adapting and extending OntoCAPE, an ontology of the chemical engineering domain. Based on the proposed ontology, a framework for distributed information management is proposed for eco-industrial parks. As an example, this ontology is used to create a knowledge base for Jurong Island, an industrial park in Singapore. Its potential uses in supporting process modeling and optimization and facilitating industrial symbiosis are also discussed in the paper. NRF (Natl Research Foundation, S’pore) Accepted version 2019-11-05T07:39:00Z 2019-12-06T22:34:53Z 2019-11-05T07:39:00Z 2019-12-06T22:34:53Z 2018 Journal Article Zhou, L., Zhang, C., Karimi, I. A., & Kraft, M. (2018). An ontology framework towards decentralized information management for eco-industrial parks. Computers & Chemical Engineering, 11849-63. doi:10.1016/j.compchemeng.2018.07.010 0098-1354 https://hdl.handle.net/10356/107584 http://hdl.handle.net/10220/50336 10.1016/j.compchemeng.2018.07.010 en Computers & Chemical Engineering © 2018 Elsevier. All rights reserved. This paper was published in Computers & Chemical Engineering and is made available with permission of Elsevier. 41 p. application/pdf |
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Eco-industrial Park Engineering::Mechanical engineering Knowledge Base Zhou, Li Zhang, Chuan Karimi, Iftekhar A. Kraft, Markus An ontology framework towards decentralized information management for eco-industrial parks |
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In this paper, we develop a skeletal ontology for eco-industrial parks. A topdown conceptual framework including ve operating levels (unit operations, processes, plants, industrial resource networks and eco-industrial parks) is employed to guide the design of the ontology structure. The detailed ontological representation of each level is realized through adapting and extending
OntoCAPE, an ontology of the chemical engineering domain. Based on the proposed ontology, a framework for distributed information management is proposed for eco-industrial parks. As an example, this ontology is used to create a knowledge base for Jurong Island, an industrial park in Singapore. Its potential uses in supporting process modeling and optimization and facilitating
industrial symbiosis are also discussed in the paper. |
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School of Chemical and Biomedical Engineering |
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School of Chemical and Biomedical Engineering Zhou, Li Zhang, Chuan Karimi, Iftekhar A. Kraft, Markus |
format |
Article |
author |
Zhou, Li Zhang, Chuan Karimi, Iftekhar A. Kraft, Markus |
author_sort |
Zhou, Li |
title |
An ontology framework towards decentralized information management for eco-industrial parks |
title_short |
An ontology framework towards decentralized information management for eco-industrial parks |
title_full |
An ontology framework towards decentralized information management for eco-industrial parks |
title_fullStr |
An ontology framework towards decentralized information management for eco-industrial parks |
title_full_unstemmed |
An ontology framework towards decentralized information management for eco-industrial parks |
title_sort |
ontology framework towards decentralized information management for eco-industrial parks |
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2019 |
url |
https://hdl.handle.net/10356/107584 http://hdl.handle.net/10220/50336 |
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1759856008580038656 |