Ontology-based classification of news in an electronic newspaper

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


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.
Original languageEnglish GB
Title of host publicationAdvanced Research in Artificial Intelligence
Subtitle of host publicationPresented at the Int'l Conference on Intelligent Information & Engineering Systems (INFOS), Varna, Bulgaria, June 2008
StatePublished - 2008

Publication series

NameInformation Science and Computing


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