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Personalizing News Services Using Semantic Web Technologies
Abstract
This chapter describes Hermes, a framework for building personalized news services using Semantic Web technologies. The Hermes framework consists of four phases: classification, which categorizes news items with respect to a domain ontology, knowledge base updating, which keeps the knowledge base up-to-date based on the news information, news querying, which allows the user to search the news with concepts of interest, and results presentation, which shows the news results of the search process. Hermes is supported by a framework implementation, the Hermes News Portal, a tool that enables users to have a personalized access to news items. The Hermes framework and its associated implementation aim at advancing the state-of-the-art of semantic approaches for personalized news services by employing Semantic Web standards, exploiting and keeping up-to-date domain information, using advanced natural language processing techniques (e.g., ontology-based gazetteering, word sense disambiguation, etc.), and supporting time-based queries for expressing the desired news items.
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