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Personalizing News Services Using Semantic Web Technologies

Personalizing News Services Using Semantic Web Technologies

Flavius Frasincar, Jethro Borsje, Frederik Hogenboom
Copyright: © 2011 |Pages: 29
ISBN13: 9781609601324|ISBN10: 1609601327|EISBN13: 9781609601348
DOI: 10.4018/978-1-60960-132-4.ch013
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MLA

Frasincar, Flavius, et al. "Personalizing News Services Using Semantic Web Technologies." E-Business Applications for Product Development and Competitive Growth: Emerging Technologies, edited by In Lee, IGI Global, 2011, pp. 261-289. https://doi.org/10.4018/978-1-60960-132-4.ch013

APA

Frasincar, F., Borsje, J., & Hogenboom, F. (2011). Personalizing News Services Using Semantic Web Technologies. In I. Lee (Ed.), E-Business Applications for Product Development and Competitive Growth: Emerging Technologies (pp. 261-289). IGI Global. https://doi.org/10.4018/978-1-60960-132-4.ch013

Chicago

Frasincar, Flavius, Jethro Borsje, and Frederik Hogenboom. "Personalizing News Services Using Semantic Web Technologies." In E-Business Applications for Product Development and Competitive Growth: Emerging Technologies, edited by In Lee, 261-289. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-132-4.ch013

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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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