A Semantic Web Service Based Approach for Augmented Provenance

Liming Chen; Xueqiang Yang; Feng Tao

doi:10.1109/WI.2006.25

A Semantic Web Service Based Approach for Augmented Provenance

Liming Chen, Xueqiang Yang, Feng Tao

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Unknown Host Publication
Pages	594-600
Number of pages	7
DOIs	https://doi.org/10.1109/WI.2006.25
Publication status	Published - 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
Period	16/12/06 → …

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10.1109/WI.2006.25

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title = "A Semantic Web Service Based Approach for Augmented Provenance",

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.",

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N2 - 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.

AB - 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.

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