2010 | OriginalPaper | Buchkapitel
On Identifying and Reducing Irrelevant Information in Service Composition and Execution
verfasst von : Hong-Linh Truong, Marco Comerio, Andrea Maurino, Schahram Dustdar, Flavio De Paoli, Luca Panziera
Erschienen in: Web Information Systems Engineering – WISE 2010
Verlag: Springer Berlin Heidelberg
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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.