On-the-fly data integration for personalized television recommender systems

P.A.E. Bellekens, K.A.M. Sluijs, van der, G.J.P.M. Houben, L.M. Aroyo

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

In this paper we present our iFanzy demonstrator, which aims at offering users television content in a personalized and context-sensitive way. With iFanzy we integrate different volatile content sources like video-on-demand, broadcast and Web information on-the-fly to disperse it on different clients on different platforms like set-top boxes and Web interfaces. Via semantic Web techniques, TV content and background data from various heterogeneous sources is integrated into a transparent RDF/OWL knowledge graph, which allows the user to navigate and browse the vast content sets nowadays available. Via illustrative examples we explain how the main integrated data set is built and how we exploit it to provide iFanzypsilas main functionality, like semantic search of the available content and execution of context sensitive recommendations.
Original languageEnglish
Title of host publicationProceedings 8th International Conference on Web Engineering (ICWE 2008, Yorktown Heights NJ, USA, July 14-18, 2008)
Place of PublicationPiscataway NJ
PublisherInstitute of Electrical and Electronics Engineers
Pages362-365
ISBN (Print)978-0-7695-3261-5
DOIs
Publication statusPublished - 2008

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