On identifying and reducing irrelevant information in service composition and execution

  • Authors:

  • Hong-Linh Truong;Marco Comerio;Andrea Maurino;Schahram Dustdar;Flavio De Paoli;Luca Panziera

  • Affiliations:

  • Vienna University of Technology, Austria;Department of Informatics, Systems and Communication, University of Milano, Bicocca, Italy;Department of Informatics, Systems and Communication, University of Milano, Bicocca, Italy;Vienna University of Technology, Austria;Department of Informatics, Systems and Communication, University of Milano, Bicocca, Italy;Department of Informatics, Systems and Communication, University of Milano, Bicocca, Italy

  • Venue:
  • WISE'10 Proceedings of the 11th international conference on Web information systems engineering
  • Year:
  • 2010

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Abstract

The increasing availability of massive information on the Web causes the need for information aggregation by filtering and ranking according to user's goals. In the last years both industrial and academic researchers have investigated the way in which quality of services can be described, matched, composed and monitored for service selection and composition. However, very few of them have considered the problem of evaluating and certifying the quality of the provided service information to reduce irrelevant information for service consumers, which is crucial to improve the efficiency and correctness of service composition and execution. This paper discusses several problems due to the lack of appropriate way to manage quality and context in service composition and execution, and proposes a research roadmap for reducing irrelevant service information based on context and quality aspects. We present a novel solution for dealing with irrelevant information about Web services by developing information quality metrics and by discussing experimental evaluations.