A Semantic Web Service Based Approach for Augmented Provenance

Liming Chen, Xueqiang Yang, Feng Tao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

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 (in print/issue) - 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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