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Provenance-based trust estimation for service composition

Citation

Jiang, J and Bai, Q, Provenance-based trust estimation for service composition, Proceedings of the 26th Australasian Joint Conferenceon Artificial Intelligence (AI 2013): Lecture Notes in Computer Science, volume 8272, 1-6 December 2013, Dunedin, New Zealand, pp. 68-73. ISBN 978-3-319-03679-3 (2013) [Refereed Conference Paper]


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Copyright Statement

Copyright 2013 Springer

DOI: doi:10.1007/978-3-319-03680-9_7

Abstract

Provenance information can greatly enhance transparency and accountability of shared services. In this paper, we introduce a trust estimation approach which can derive trust information based on the analysis of provenance data. This approach can utilize the value of provenance data, and enhance trust estimation in open dynamic environments.

Item Details

Item Type:Refereed Conference Paper
Keywords:trust estimation, provenance, service recommendation
Research Division:Information and Computing Sciences
Research Group:Computer vision and multimedia computation
Research Field:Pattern recognition
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Application software packages
UTAS Author:Bai, Q (Dr Quan Bai)
ID Code:140691
Year Published:2013
Deposited By:Information and Communication Technology
Deposited On:2020-09-01
Last Modified:2020-11-09
Downloads:2 View Download Statistics

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