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Spatio-Temporal-Thematic Analysis of Citizen-Sensor Data - Challenges and Experiences

Title Spatio-Temporal-Thematic Analysis of Citizen-Sensor Data - Challenges and Experiences
Author , , , , ,
Venue Tenth International Conference on Web Information Systems Engineering
Year 2009
Resource Type ConferencePaper
Keyword(s) citizen sensing, crowd sourcing social data, social signals, spatio-temporal-thematic exploration on social media, social perception, social web mashup, events on social media
Full Citation Meenakshi Nagarajan, Karthik Gomadam, Amit Sheth, Ajith Ranabahu, Raghava Mutharaju and Ashutosh Jadhav, 'Spatio-Temporal-Thematic Analysis of Citizen-Sensor Data - Challenges and Experiences,' Tenth International Conference on Web Information Systems Engineering, October 5-7, 2009, 539 - 553.
Abstract 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 that extracts and facilitates the spatio-temporal-thematic exploration of event descriptor summaries.
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