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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: | 17 View Download Statistics |
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