On Identifying and Reducing Irrelevant Information in Service Composition and Execution

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