<?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%">Meenakshi Nagarajan</style></author><author><style face="normal" font="default" size="100%">Karthik Gomadam</style></author><author><style face="normal" font="default" size="100%">Amit Sheth</style></author><author><style face="normal" font="default" size="100%">Ajith Ranabahu</style></author><author><style face="normal" font="default" size="100%">Raghava Mutharaju</style></author><author><style face="normal" font="default" size="100%">Ashutosh Jadhav</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Gottfried Vossen</style></author><author><style face="normal" font="default" size="100%">Darrell D. E. Long</style></author><author><style face="normal" font="default" size="100%">Jeffrey Xu Yu</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Spatio-Temporal-Thematic Analysis of Citizen Sensor Data: Challenges and Experiences</style></title><secondary-title><style face="normal" font="default" size="100%">Web Information Systems Engineering - WISE 2009, 10th International Conference</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1007/978-3-642-04409-0_52</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pub-location><style face="normal" font="default" size="100%">Poznan, Poland</style></pub-location><volume><style face="normal" font="default" size="100%">5802</style></volume><pages><style face="normal" font="default" size="100%">539–553</style></pages><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;We present work in the spatio-temporal-thematic analysis of citizen-sensor observations pertaining to real-world events. Using Twitter as a platform for obtaining crowd-sourced observations, we explore the interplay between these 3 dimensions in extracting insightful summaries of social perceptions behind events. We present our experiences in building a web mashup application, Twitris [1] that extracts and facilitates the spatio-temporal-thematic exploration of event descriptor summaries.&lt;/p&gt;
</style></abstract></record><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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