<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ashutosh Jadhav</style></author><author><style face="normal" font="default" size="100%">Wenbo Wang</style></author><author><style face="normal" font="default" size="100%">Raghava Mutharaju</style></author><author><style face="normal" font="default" size="100%">Pramod Anantharam</style></author><author><style face="normal" font="default" size="100%">Vinh Nguyen</style></author><author><style face="normal" font="default" size="100%">Amit Sheth</style></author><author><style face="normal" font="default" size="100%">Karthik Gomadam</style></author><author><style face="normal" font="default" size="100%">Meenakshi Nagarajan</style></author><author><style face="normal" font="default" size="100%">Ajith Ranabahu</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Twitris: Socially Influenced Browsing</style></title><secondary-title><style face="normal" font="default" size="100%">Semantic Web Challenge at the 8th International Semantic Web Conference (ISWC 2009)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><pub-location><style face="normal" font="default" size="100%">Washington DC, USA</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p class=&quot;rtejustify&quot;&gt;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.&lt;/p&gt;
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