<?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;
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