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dc.contributor.authorCheah, Chan
dc.contributor.authorChang, Elizabeth
dc.date.accessioned2017-01-30T12:39:41Z
dc.date.available2017-01-30T12:39:41Z
dc.date.created2008-11-12T23:25:02Z
dc.date.issued2005
dc.identifier.citationCheah, Chan and Chang, Elizabeth. 2005. : Multi-site Project Management Ontology Systems Development Methodology, in Dillon, T. and Yu, X. and Chang, E. (ed), INDIN 2005: 3rd International Conference on Industrial Informatics, Frontier Technologies for the Future of Industry and Business, Sep 10 2005. Perth, WA: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/23871
dc.identifier.doi10.1109/INDIN.2005.1560482
dc.description.abstract

This paper examines how ontology principles can be applied in the design of a semantic web service system for supporting multi-site project management (MSPM) in Industrial Automation. It reports work in progress views of what constitute the MSPM ontology system development methodology,which is currently revealing to be best practice and standards driven.The methodology requires linking conventional SDLC processes with semantic MSPM knowledge standards development and change management, and it fosters the inclusion of semantic knowledge standards (in addition to ICT standards)in governing the design of systems.

dc.publisherIEEE
dc.subjectsystem development methodology
dc.subjectontology based software engineering
dc.subjectontology
dc.titleMulti-site Project Management Ontology Systems Development Methodology
dc.typeConference Paper
dcterms.source.titleINDIN 2005: 3rd International Conference on Industrial Informatics, Frontier Technologies for the Future of Industry and Business
dcterms.source.seriesINDIN 2005: 3rd International Conference on Industrial Informatics, Frontier Technologies for the Future of Industry and Business
dcterms.source.conferenceINDIN 2005: 3rd International Conference on Industrial Informatics, Frontier Technologies for the Future of Industry and Business
dcterms.source.conference-start-dateSep 10 2005
dcterms.source.conferencelocationPerth, WA
dcterms.source.placePerth, WA
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Copyright 2005 IEEE

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Reprinted from:

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2005 3rd IEEE International Conference on Industrial Informatics (INDIN) Perth, Australia 10-12 August 2005

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IEEE Catalog Number ISBN 05EX1057

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ISBN 0-7803-9094-6

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curtin.identifierEPR-531
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultySchool of Information Systems


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