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GTrust: An innovated trust model for group services selection in web-based service-oriented environments


Su, X and Zhang, M and Mu, Y and Bai, Q, GTrust: An innovated trust model for group services selection in web-based service-oriented environments, Proceedings of the 12th International Conference on Web Information Systems Engineering (WISE 2011). Lecture Notes in Computer Science, volume 6997, 13-14 October 2011, Sydney, Australia, pp. 306-313. ISBN 978-3-642-24433-9 (2011) [Refereed Conference Paper]


Copyright Statement

Copyright 2011 Springer

DOI: doi:10.1007/978-3-642-24434-6_26


In past twenty years, the multi-agent technology has been widely employed for the development of web-based systems. Currently, agent-based service-oriented applications have been widely applied in many complex domains such as web-based e-markets, web-based grid computing, e-government and service-oriented software systems, cross Internet and organizations. In this kind of service-oriented systems, service provider (agents) and service consumer (agents) are autonomous entities and can enter and leave the environment freely. How to select the most suitable service providers according to the requested services from consumers in such an open environment is a very challenge issue. In this paper, we propose an innovated trust model-the GTrust model for group services selection in a general service-oriented environment. In our model, the trust evaluation for a group service is based on (1) the coverage rate of the requested functionalities from a group service, (2) the dependency relationships among individual services in a group, (3) reference reports from third parties for each provider of individual services in a group and (4) the similarity measurement about to what extent the reference reports can reflect the new service request in terms of priority distributions on attributes of the service. The experimental results demonstrate the good performance of the GTrust model in terms of satisfaction degree in group service selections.

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Intelligent robotics
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:140694
Year Published:2011
Deposited By:Information and Communication Technology
Deposited On:2020-09-01
Last Modified:2020-11-09
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