A System for Synergistically Structuring News Content from Traditional Media and the Blogosphere

Nikos Sarris, Gerasimos Potamianos, Jean-Michel Renders, Claire Grover, Eric Karstens, Leonidas Kallipolitis, Vasilis Tountopoulos, Georgios Petasis, Anastasia Krithara, Matthias Gallé, Guillaume Jacquet, Beatrice Alex, Richard Tobin, Liliana Bounegru

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

News and social media are emerging as a dominant source of information for numerous applications. However, their vast unstructured content present challenges to efficient extraction of such information. In this paper, we present the SYNC3 system that aims to intelligently structure content from both traditional news media and the blogosphere. To achieve this goal, SYNC3 incorporates innovative algorithms that first model news media content statistically, based on fine clustering of articles into so-called “news events”. Such models are then adapted and applied to the blogosphere domain, allowing its content to map to the traditional news domain. Furthermore, appropriate algorithms are employed to extract news event labels and relations between events, in order to efficiently present news content to the system end users.
Original languageEnglish
Title of host publicationeChallenges e-2011 Conference Proceedings, Paul Cunningham and Miriam Cunningham (Eds), IIMC International Information Management Corporation Ltd 2011
Publication statusPublished - 2011

Keywords / Materials (for Non-textual outputs)

  • sync3,


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