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

6 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 → …

Access to Document

10.1109/WI.2006.25

Fingerprint Dive into the research topics of 'A Semantic Web Service Based Approach for Augmented Provenance'. Together they form a unique fingerprint.

Cite this

@inproceedings{b04b56478cfb43f89bf65856ea825c23,

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.",

author = "Liming Chen and Xueqiang Yang and Feng Tao",

year = "2006",

month = dec,

day = "16",

doi = "10.1109/WI.2006.25",

language = "English",

isbn = "0-7695-2747-7",

pages = "594--600",

booktitle = "Unknown Host Publication",

note = "The 2006 IEEE/WIC/ACM International Conference on Web Intelligence ; Conference date: 16-12-2006",

}

TY - GEN

T1 - A Semantic Web Service Based Approach for Augmented Provenance

AU - Chen, Liming

AU - Yang, Xueqiang

AU - Tao, Feng

PY - 2006/12/16

Y1 - 2006/12/16

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.

U2 - 10.1109/WI.2006.25

DO - 10.1109/WI.2006.25

M3 - Conference contribution

SN - 0-7695-2747-7

SP - 594

EP - 600

BT - Unknown Host Publication

T2 - The 2006 IEEE/WIC/ACM International Conference on Web Intelligence

Y2 - 16 December 2006

ER -