|Title||Twitris: Socially Influenced Browsing|
|Year of Publication||2009|
|Authors||Meenakshi Nagarajan, Raghava Mutharaju, Karthik Gomadam, Pramod Anantharam, Ajith Ranabahu, Ashutosh Jadhav, Wenbo Wang, Vinh Nguyen, Amit Sheth|
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 spatio-temporal-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.