Twitris: Socially Influenced Browsing

In this paper, we present Twitris, a semantic Web appli- cation 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 real- time 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.