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Using ontology engineering for understanding needs and allocating resources in web-based industrial virtual collaboration systems
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Ma, Xiao, Bal, Jay and Issa, Ahmad (2014) Using ontology engineering for understanding needs and allocating resources in web-based industrial virtual collaboration systems. Working Paper. Coventry: Warwick Manufacturing Group. WMG Service Systems Research Group Working Paper Series (Number 01/14).
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Official URL: http://www2.warwick.ac.uk/fac/sci/wmg/research/bus...
Abstract
In many interactions in cross-industrial and inter-industrial collaboration, analysis and understanding of relative specialist and non-specialist language is one of the most pressing challenges when trying to build multi-party, multi-disciplinary collaboration system. Hence, identifying the scope of the language used and then understanding the relationships between the language entities are key problems. In computer science, ontologies are used to provide a common vocabulary for a domain of interest together with descriptions of the meaning of terms and relationships between them, like in an encyclopedia. These, however, often lack the fuzziness required for human orientated systems. This paper uses an engineering sector business collaboration system (www.wmccm.co.uk) as a case study to illustrate the issues. The purpose of this paper is to introduce a novel ontology engineering methodology, which generates structurally enriched cross domain ontologies economically, quickly and reliably. A semantic relationship analysis of the Google Search Engine Index was devised and evaluated. Using Semantic analysis seems to generate a viable list of subject terms. A social network analysis of the semantically derived terms was conducted to generate a decision support network with rich relationships between terms. The derived ontology was quicker to generate, provided richer internal relationships and relied far less on expert contribution. More importantly, it improved the collaboration matching capability of WMCCM.
Item Type: | Working or Discussion Paper (Working Paper) | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TA Engineering (General). Civil engineering (General) |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||
Library of Congress Subject Headings (LCSH): | Ontology, Ontologies (Information retrieval), Semantic Web, Semantic networks (Information theory) , Engineering -- Data processing | ||||
Series Name: | WMG Service Systems Research Group Working Paper Series | ||||
Journal or Publication Title: | Computers in Industry | ||||
Publisher: | Warwick Manufacturing Group | ||||
Place of Publication: | Coventry | ||||
ISSN: | 2049-4297 | ||||
Official Date: | 2014 | ||||
Dates: |
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Number: | Number 01/14 | ||||
Number of Pages: | 26 | ||||
Institution: | University of Warwick | ||||
Status: | Not Peer Reviewed | ||||
Access rights to Published version: | Open Access (Creative Commons) | ||||
Funder: | Engineering and Physical Sciences Research Council (EPSRC) |
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