Ontology-based user preference modeling for enhancing interoperability in personalized services

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.