A Semantic Web Service Based Approach for Augmented Provenance

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dc.cclicenceCC-BY-NCen
dc.contributor.authorChen, Limingen
dc.contributor.authorTao, F.en
dc.contributor.authorYang, X.en
dc.date.acceptance2006-10-19en
dc.date.accessioned2018-02-27T13:11:58Z
dc.date.available2018-02-27T13:11:58Z
dc.date.issued2007-01-15
dc.description.abstractProvenance is becoming increasingly important in service-oriented distributed computing environments in which services are dynamically discovered and composed into workflows for problem solving, and disbanded later. This paper proposes a semantic Web service (SWS) based approach to creating and exploiting rich provenance data - the so-called augmented provenance. Augmented provenance enhances conventional provenance data with extensive metadata and semantics, enabling large scale sharing and deep reuse. We present a general architecture for the approach and discuss mechanisms for modelling, capturing, recording and querying provenance data. The approach has been applied to a real world application in which tools and GUIs are developed to facilitate provenance management. Application experiences are discussed.en
dc.funderN/Aen
dc.identifier.citationChen, L., Yang, X., Tao, F.(2007) A Semantic Web Service Based Approach for Augmented Provenance, IEEE/WIC/ACM International Conference on Web Intelligence,en
dc.identifier.doihttps://doi.org/10.1109/wi.2006.25
dc.identifier.isbn0769527477
dc.identifier.urihttp://hdl.handle.net/2086/15288
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidN/Aen
dc.publisherIEEEen
dc.researchgroupCIIRGen
dc.researchinstituteCyber Technology Institute (CTI)en
dc.titleA Semantic Web Service Based Approach for Augmented Provenanceen
dc.typeConferenceen

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