Toward Trustworthy Semantic Web Service Discovery and Selection
ATC '09 Proceedings of the 6th International Conference on Autonomic and Trusted Computing
A dynamic trust network based simulation framework for reputation-based service selection
Proceedings of the First Asia-Pacific Symposium on Internetware
Game-Theoretic analysis of a web services collaborative mechanism
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
Analyzing Communities of Web Services Using Incentives
International Journal of Web Services Research
Agent-based game-theoretic model for collaborative web services: Decision making analysis
Expert Systems with Applications: An International Journal
A robust trust model for service-oriented systems
Journal of Computer and System Sciences
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Provision of services within a virtual framework for resource sharing across institutional boundaries has become an active research area. Many such services encode access to computational and data resources, comprising single machines to computational clusters. Such services can also be informational, and integrate different resources within an institution. Consequently, we envision a service rich environment in the future, where service consumers are represented by intelligent agents. If interaction between agents is automated, it is necessary for these agents to be able to automatically discover services and choose between a set of equivalent (or similar) services. In such a scenario trust serves as a benchmark to differentiate between services. In this paper we introduce a novel framework for automated service discovery and selection of Web Services based on a user's trust policy. The framework is validated by a case study of data mining Web Services and is evaluated by an empirical experiment.