A methodology for quality-based mashup of data sources
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Semantic web rules and ontologies for developing personalised mashups
International Journal of Knowledge and Web Intelligence
PLATIS: a personalized location-aware tourist information system
Proceedings of the Second ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
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A common perception is that there are two competing vision for the future evolution of the Web: the Semantic Web and Web 2.0. In fact, Semantic Web technologies must integrate with Web 2.0 services for both to leverage each other’s strengths. This paper illustrates how Semantic Web technologies can support information integration and make it easy to create semantic mashups. An intelligent recommendation system for tourism is presented to show the efficiency of our method. Through the ontology of tourism, the system allows the integration of heterogeneous online travel information. Based on Bayesian network technique method, the system recommends tourist attractions to a user by taking into account the travel behaviour both of the user and of other users.