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Article: Knowledge acquisition for product development in knowledge grid

TitleKnowledge acquisition for product development in knowledge grid
Authors
KeywordsGrid
Knowledge acquisition
Knowledge grid
Product development
Issue Date2008
PublisherProfessional Engineering Publishing Ltd. The Journal's web site is located at http://journals.pepublishing.com/link.asp?id=119771
Citation
Proceedings Of The Institution Of Mechanical Engineers, Part C: Journal Of Mechanical Engineering Science, 2008, v. 222 n. 11, p. 2269-2280 How to Cite?
AbstractThis paper is mainly concerned with the implementation of innovative product development-oriented knowledge acquisition in a knowledge grid. The architecture of a knowledge acquisition platform based on the theory of inventive problem solving (TRIZ) and ontology is proposed at first. Then the key techniques analysed are: ontology building for product development, semantic register, semantic parser, query dispatch, and knowledge acquisition based on contradiction matrix. Finally, working scenarios are employed to illustrate the knowledge acquisition process. © IMechE 2008.
Persistent Identifierhttp://hdl.handle.net/10722/58877
ISSN
2015 Impact Factor: 0.73
2015 SCImago Journal Rankings: 0.392
ISI Accession Number ID
Funding AgencyGrant Number
973/National Basic Research Program of China2003CB317005
Shuguang Program of Shanghai Educational Committee05SG15
Funding Information:

This research work obtained financial support from the 973/National Basic Research Program of China (2003CB317005) and Shuguang Program of Shanghai Educational Committee (No. 05SG15).

References

 

DC FieldValueLanguage
dc.contributor.authorZhen, Len_HK
dc.contributor.authorJiang, Zen_HK
dc.contributor.authorHuang, GQen_HK
dc.contributor.authorLiang, Jen_HK
dc.date.accessioned2010-05-31T03:38:37Z-
dc.date.available2010-05-31T03:38:37Z-
dc.date.issued2008en_HK
dc.identifier.citationProceedings Of The Institution Of Mechanical Engineers, Part C: Journal Of Mechanical Engineering Science, 2008, v. 222 n. 11, p. 2269-2280en_HK
dc.identifier.issn0954-4062en_HK
dc.identifier.urihttp://hdl.handle.net/10722/58877-
dc.description.abstractThis paper is mainly concerned with the implementation of innovative product development-oriented knowledge acquisition in a knowledge grid. The architecture of a knowledge acquisition platform based on the theory of inventive problem solving (TRIZ) and ontology is proposed at first. Then the key techniques analysed are: ontology building for product development, semantic register, semantic parser, query dispatch, and knowledge acquisition based on contradiction matrix. Finally, working scenarios are employed to illustrate the knowledge acquisition process. © IMechE 2008.en_HK
dc.languageengen_HK
dc.publisherProfessional Engineering Publishing Ltd. The Journal's web site is located at http://journals.pepublishing.com/link.asp?id=119771en_HK
dc.relation.ispartofProceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Scienceen_HK
dc.subjectGriden_HK
dc.subjectKnowledge acquisitionen_HK
dc.subjectKnowledge griden_HK
dc.subjectProduct developmenten_HK
dc.titleKnowledge acquisition for product development in knowledge griden_HK
dc.typeArticleen_HK
dc.identifier.emailHuang, GQ:gqhuang@hkucc.hku.hken_HK
dc.identifier.authorityHuang, GQ=rp00118en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1243/09544062JMES672en_HK
dc.identifier.scopuseid_2-s2.0-57549104854en_HK
dc.identifier.hkuros163381en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-57549104854&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume222en_HK
dc.identifier.issue11en_HK
dc.identifier.spage2269en_HK
dc.identifier.epage2280en_HK
dc.identifier.isiWOS:000261431100019-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridZhen, L=14053327700en_HK
dc.identifier.scopusauthoridJiang, Z=35240389200en_HK
dc.identifier.scopusauthoridHuang, GQ=7403425048en_HK
dc.identifier.scopusauthoridLiang, J=25628488700en_HK
dc.identifier.citeulike3506402-

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