A Semantic Web Service Based Approach for Augmented Provenance

Liming Chen, Xueqiang Yang, Feng Tao

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Provenance 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.
    Original languageEnglish
    Title of host publicationUnknown Host Publication
    Pages594-600
    Number of pages7
    DOIs
    Publication statusPublished - 16 Dec 2006
    EventThe 2006 IEEE/WIC/ACM International Conference on Web Intelligence - Hong Kong, China
    Duration: 16 Dec 2006 → …

    Conference

    ConferenceThe 2006 IEEE/WIC/ACM International Conference on Web Intelligence
    Period16/12/06 → …

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  • Cite this

    Chen, L., Yang, X., & Tao, F. (2006). A Semantic Web Service Based Approach for Augmented Provenance. In Unknown Host Publication (pp. 594-600) https://doi.org/10.1109/WI.2006.25