|Title||Twitris: Socially Influenced Browsing|
|Publication Type||Conference Papers|
|Year of Publication||2009|
|Authors||Jadhav, A, Wang, W, Mutharaju, R, Anantharam, P, Nguyen, V, Sheth, A, Gomadam, K, Nagarajan, M, Ranabahu, A|
|Conference Name||Semantic Web Challenge at the 8th International Semantic Web Conference (ISWC 2009)|
|Conference Location||Washington DC, USA|
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.