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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/9792

Title: A manufacturing system engineering ontology model on the semantic web for inter-enterprise collaboration
Authors: Lin, Hsiao-Kang
Harding, Jennifer A.
Keywords: Information autonomy
MSE ontology model
Semantic web
Web ontology language (OWL)
Inter-enterprise collaboration
Issue Date: 2007
Publisher: © Elsevier
Citation: LIN, H.K. and HARDING, J.A., 2007. A manufacturing system engineering ontology model on the semantic web for inter-enterprise collaboration. Computers in Industry, 58 (5), pp. 428 - 437
Abstract: This paper investigates ontology-based approaches for representing information semantics and in particular the World Wide Web. A general manufacturing system engineering (MSE) knowledge representation scheme, called an MSE ontology model, to facilitate communication and information exchange in inter-enterprise, multi-disciplinary engineering design teams has been developed and encoded in the standard semantic web language. The proposed approach focuses on how to support information autonomy that allows the individual team members to keep their own preferred languages or information models rather than requiring them all to adopt standardized terminology. The MSE ontology model provides efficient access by common mediated meta-models across all engineering design teams through semantic matching. This paper also shows how the primitives of Web Ontology Language (OWL) can be used for expressing simple mappings between the mediated MSE ontology model and individual ontologies.
Description: This article was published in the journal, Computers in Industry [© Elsevier]. The definitive version is available at: http://dx.doi.org/10.1016/j.compind.2006.09.015
Version: Accepted for publication
DOI: 10.1016/j.compind.2006.09.015
URI: https://dspace.lboro.ac.uk/2134/9792
Publisher Link: http://dx.doi.org/10.1016/j.compind.2006.09.015
ISSN: 0166-3615
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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