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 Francis Tobin, Liliana Bounegru · 2011
Abstract: 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. 1. Introduction News content in the internet, available through both traditional news media portals and the blogosphere, constitutes valuable information to both professionals and casual internet users, who however can be inundated by its vast amount. Clearly, such information could be much more useful if presented and delivered in a well-structured way. Many attempts, taking the form of either research projects or commercial solutions, have been made to provide centralised repositories of such content [1][2][3]. However, to date, there exists no integrated system that structures blog post content across these two broad sources of news information in parallel, capable to meet the requirements of a broad range of end users, such as professional journalists, communication experts, and citizen bloggers. The SYNC3 system