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 language | English |
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Title of host publication | Unknown Host Publication |
Pages | 594-600 |
Number of pages | 7 |
DOIs | |
Publication status | Published (in print/issue) - 16 Dec 2006 |
Event | The 2006 IEEE/WIC/ACM International Conference on Web Intelligence - Hong Kong, China Duration: 16 Dec 2006 → … |
Conference
Conference | The 2006 IEEE/WIC/ACM International Conference on Web Intelligence |
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Period | 16/12/06 → … |