A Semantic Recommender Engine Enabling an eTourism Scenario
This work approaches the problem of delivering services in a personalized way in an eTourism scenario. Our research, on one side, exploits semantic annotation of either services and user profiles to add a layer of business description that allows the system to supply the most suitable service to the user who requested it. On the other side, this work aims to extent Service Oriented Architecture with the use of semantics and ontologies to enable e-business relations in the tourism applicative domain. This approach is adopted in the MAIS project, in which a Service Oriented Architecture has been developed. Our model relies on semantic description of services, rule-based user profile and the use of semantic matching algorithms.
KeywordsRecommender System Service Orient Architecture Collaborative Filter Service Description Semantic Annotation
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