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Book 2 Advanced Research in Artificial Intelligence >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1035

Title: Ontology-based Classification of News in an Electronic Newspaper
Authors: Tenenboim, Lena
Shapira, Bracha
Shoval, Peretz
Keywords: Classification
Electronic Newspaper
Information Filtering
Mobile Device
Ontology
Personalization
Information Storage and Retrieval
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: This paper deals with the classification of news items in ePaper, a prototype system of a future personalized newspaper service on a mobile reading device. The ePaper system aggregates news items from various news providers and delivers to each subscribed user (reader) a personalized electronic newspaper, utilizing content-based and collaborative filtering methods. The ePaper can also provide users "standard" (i.e., not personalized) editions of selected newspapers, as well as browsing capabilities in the repository of news items. This paper concentrates on the automatic classification of incoming news using hierarchical news ontology. Based on this classification on one hand, and on the users' profiles on the other hand, the personalization engine of the system is able to provide a personalized paper to each user onto her mobile reading device.
URI: http://hdl.handle.net/10525/1035
ISSN: 1313-0455
Appears in Collections:Book 2 Advanced Research in Artificial Intelligence

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