Spatio-Temporal-Thematic Analysis of Citizen-Sensor Data: Challenges and Experiences
Document Type
Conference Proceeding
Publication Date
10-2009
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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.
Repository Citation
Nagarajan, M.,
Gomadam, K.,
Sheth, A. P.,
Ranabahu, A. H.,
Mutharaju, R.,
& Jadhav, A. S.
(2009). Spatio-Temporal-Thematic Analysis of Citizen-Sensor Data: Challenges and Experiences. Lecture Notes in Computer Science, 5802, 539-553.
https://corescholar.libraries.wright.edu/knoesis/359
DOI
10.1007/978-3-642-04409-0_52
Comments
Presented at the Tenth International Conference on Web Information Systems Engineer, Poznen, Poland, October 5-7, 2009.