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dc.contributor.authorRen, Weien_US
dc.contributor.authorChen, Gangen_US
dc.contributor.authorYang, Zhonghuaen_US
dc.contributor.authorZhou, Junhongen_US
dc.contributor.authorZhang, Jing Bingen_US
dc.contributor.authorLow, Chor Pingen_US
dc.contributor.authorChen, Daviden_US
dc.contributor.authorSun, Chengzhengen_US
dc.contributor.editorSoh, Yeng Chaien_US
dc.date.accessioned2017-05-03T12:58:34Z
dc.date.available2017-05-03T12:58:34Z
dc.date.issued2008en_US
dc.date.modified2011-05-04T09:50:24Z
dc.identifier.refurihttp://www.icarcv.org/2008/en_AU
dc.identifier.doi10.1109/ICARCV.2008.4795639en_AU
dc.identifier.urihttp://hdl.handle.net/10072/24150
dc.description.abstractGlobalization leads to an efficient new business paradigm generally known as Collaborative Virtual Enterprise (CVE) which demands flexible service orchestration and robust workflow execution. As two major service orchestration strategies, OWL-S and BPEL have their own strength and deficiencies. To meet the challenge in CVE, in this paper, we propose a Workflow Execution System (WES) that takes advantage of the complementary strengths of these two technologies. On the one hand, having semantic support, OWL-S is used in dynamic service discovery and composition at high level. On the other hand, at the concrete level, industry-based BPEL is exploited in service execution. The description of each Semantic Web service is enhanced with rule-based modeling of the essential business logic behind the service interface. In order to realize interoperability in OWL-S and BPEL without loss of semantic information, we further proposed an OWLS2BPEL Mapper to facilitate the workflow robustness and support rule evaluation to increase responsiveness to customers. A concrete scenario in PC manufacturing Collaborative Virtual Enterprise is analyzed to demonstrate the effectiveness of our workflow execution system.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent503731 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placeUSAen_US
dc.publisher.urihttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4786611en_AU
dc.relation.ispartofstudentpublicationYen_AU
dc.relation.ispartofconferencename10th International Conference on Control, Automation, Robotics and Vision, 2008. ICARCV 2008.en_US
dc.relation.ispartofconferencetitleProceedings of the 10th International Conference on Control, Automation, Robotics and Vision, 2008. ICARCV 2008.en_US
dc.relation.ispartofdatefrom2008-12-17en_US
dc.relation.ispartofdateto2008-12-20en_US
dc.relation.ispartoflocationHanoi, Vietnamen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchDistributed Computing not elsewhere classifieden_US
dc.subject.fieldofresearchcode080599en_US
dc.titleSemantic Enhanced Rule Driven Workflow Execution in Collaborative Virtual Enterpriseen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.rights.copyrightCopyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_AU
gro.date.issued2008
gro.hasfulltextFull Text


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