Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/107584
Title: | An ontology framework towards decentralized information management for eco-industrial parks | Authors: | Zhou, Li Zhang, Chuan Karimi, Iftekhar A. Kraft, Markus |
Keywords: | Eco-industrial Park Engineering::Mechanical engineering Knowledge Base |
Issue Date: | 2018 | Source: | 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 | Series/Report no.: | Computers & Chemical Engineering | Abstract: | 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. | URI: | https://hdl.handle.net/10356/107584 http://hdl.handle.net/10220/50336 |
ISSN: | 0098-1354 | DOI: | 10.1016/j.compchemeng.2018.07.010 | Schools: | School of Chemical and Biomedical Engineering School of Mechanical and Aerospace Engineering |
Rights: | © 2018 Elsevier. All rights reserved. This paper was published in Computers & Chemical Engineering and is made available with permission of Elsevier. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | MAE Journal Articles SCBE Journal Articles |
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An ontology framework towards decentralized ...pdf | 5.13 MB | Adobe PDF | ![]() View/Open |
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