Toward Trustworthy Semantic Web Service Discovery and Selection

  • Authors:

  • Jing Li;Dianfu Ma;Jun Han;Xiang Long

  • Affiliations:

  • School of Computer Science and Engineering, Beihang University, Beijing, China;School of Computer Science and Engineering, Beihang University, Beijing, China;School of Computer Science and Engineering, Beihang University, Beijing, China;School of Computer Science and Engineering, Beihang University, Beijing, China

  • Venue:
  • ATC '09 Proceedings of the 6th International Conference on Autonomic and Trusted Computing
  • Year:
  • 2009

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Abstract

Accurately locating trustworthy Web Services is one of the most important preconditions of services composition and invocation. However, the rapid growth of Web Services on the Internet makes services discovery become harder. Besides, the open Internet environment prevents us from finding the right services, for the cheating, incorrect and outdated data, which we call "dirty data", are ubiquitous. To make Web Service consumers get trustworthy services possible, a novel trustworthy Semantic Web Service discovery and selection mechanism is proposed. It uses the consumers' feedback to describe Web Service's and service provider's trustworthy degree which we define as service reputation and service provider reputation. Based on this mechanism and our previous work, an Agent-based Adaptive Dynamic Semantic Web Service Selection framework is presented. According to this framework, a case study is described to show the detailed operating steps of the discovery and selection process.