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Personalized services that provide users with adaptive information filtered from heterogeneous and numerous information makes human-computer interaction efficient. Although personalized services have been researched in the various, heterogeneous information and users have raised the problem of defining a generic user model that would be used as a basis for recommending personalized information. Moreover, it is difficult to share the users' information. In this paper, we propose ontology-based user preference model as one of the solution to resolve the problems. In our model, user preference is described in User Preference Description Language (UPDL) with various domain ontologies. UPDL is a simple and OWL-based description language that allows users to describe their preference over domain ontologies. It provides not only rich expressiveness, reusability and flexibility but also the novel personalized services that can access and utilize not only user preferences in the own service but also in other services. [ABSTRACT FROM AUTHOR]

The tour guide services are a LBS application that provides the information based on the location of users. The recent researches of the tour guide services focus on the context-sensitive computing, but the tour guide services based on HTML contents can provide only the static information. Therefore, the goals of our research are to semantically search the information. For the purpose, we describe the ontologies of the tour guide services, and express the tour information as the RDF contents based on the ontologies. In this paper, we present the architecture of the tour information Services based on the Semantic Web technologies and describe the process of the implementation. [ABSTRACT FROM AUTHOR]