Overview of Preference-Based Web Service Frame
Keywords:
Automated, Optimization, User Preferences, AffordedAbstract
Plenty of the research on automated Web Service Frame (WSF) relates it to an AI planning task, where the composition is primarily done offline before to execution. Some of this optimization can be done offline, many interesting and beneficial optimizations are data dependent, and must be done following execution of at least some information gathering services. Recent research on WSF has argued convincingly for the features of optimizing quality of service, trust, and user preferences. In this paper, we examine this class of WSF problems without excessive data gathering. Our investigation is performed in the context of the semantic web exercising an existing preference based Hierarchical Task Network WSC system. Our experiments explained the potential improvement in both the quality and speed of composition generation afforded by our approach.
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