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A Semantic Web Service Based Approach for Augmented Provenance

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Chen, Liming, Yang, Xueqiang and Tao, Feng (2006) A Semantic Web Service Based Approach for Augmented Provenance. In: The 2006 IEEE/WIC/ACM International Conference on Web Intelligence, Hong Kong, China. UNSPECIFIED. 7 pp. [Conference contribution]

Full text not available from this repository.

DOI: 10.1109/WI.2006.25

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.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Smart Environments
ID Code:11667
Deposited By:Dr Liming Chen
Deposited On:09 Mar 2010 15:53
Last Modified:30 Jun 2011 10:10

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