Provenance-based trust estimation for service composition
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.
History
Publication title
Proceedings of the 26th Australasian Joint Conferenceon Artificial Intelligence (AI 2013): Lecture Notes in Computer Science, volume 8272Volume
8272Editors
S Cranefield and A NayakPagination
68-73ISBN
978-3-319-03679-3Department/School
School of Information and Communication TechnologyPublisher
SpringerPlace of publication
SwitzerlandEvent title
26th Australasian Joint Conferenceon Artificial Intelligence (AI 2013)Event Venue
Dunedin, New ZealandDate of Event (Start Date)
2013-12-01Date of Event (End Date)
2013-12-06Rights statement
Copyright 2013 SpringerRepository Status
- Open
