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A Semantic Web Service Based Approach for Augmented Provenance

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3 Author(s)
Liming Chen ; Sch. of Comput. & Math., Ulster Univ., Antrim ; Xueqiang Yang ; Tao, F.

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

Published in:

Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on

Date of Conference:

Dec. 2006