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 the 3 dimensions in extracting insightful summaries of observations. We present our experiences in building a web mashup application, Twitris[1] that also facilitates the spatio-temporal-thematic exploration of social signals underlying events. © 2009 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Nagarajan, M., Gomadam, K., Sheth, A. P., Ranabahu, A., Mutharaju, R., & Jadhav, A. (2009). Spatio-temporal-thematic analysis of citizen sensor data: Challenges and experiences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5802 LNCS, pp. 539–553). https://doi.org/10.1007/978-3-642-04409-0_52
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