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Many personalized services that provide users with adaptive information according to users` preferences have been researched and developed. Push services are especially expected to be more economic impact because push services satisfy user`s potential needs even if the user does not require anything. In this paper, we propose Semantic Web approach in order to enhance the performance of push services. Our approach provides infrastructure to recommend contents based on semantic association by enabling information of contents and user preferences to be described on service-specific ontologies that reflect features of each service. In addition, our approach can recommend users with adaptive information based on information represented in our description model. Our approach enables information of contents and user preferences to be described with rich expressiveness, and it provides semantic interoperability.

Push Service Technique based on Semantic Web for Personalized Services