01167nas a2200205 4500008004100000245004200041210004100083260002300124520055100147100002100698700001600719700002300735700002300758700001700781700001600798700002100814700002500835700002000860856008100880 2009 eng d00aTwitris: Socially Influenced Browsing0 aTwitris Socially Influenced Browsing aWashington DC, USA3 a

In this paper, we present Twitris, a semantic Web application that facilitates browsing for news and information, using social perceptions as the fulcrum. In doing so we address challenges in large scale crawling, processing of real time information, and preserving spatiotemporal-thematic properties central to observations pertaining to realtime events. We extract metadata about events from Twitter and bring related news and Wikipedia articles to the user. In developing Twitris, we have used the DBPedia ontology.

1 aJadhav, Ashutosh1 aWang, Wenbo1 aMutharaju, Raghava1 aAnantharam, Pramod1 aNguyen, Vinh1 aSheth, Amit1 aGomadam, Karthik1 aNagarajan, Meenakshi1 aRanabahu, Ajith uhttps://daselab.cs.ksu.edu/publications/twitris-socially-influenced-browsing