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.
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References
Twitris: Twitter through space, time and theme, http://twitris.dooduh.com
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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: Vossen, G., Long, D.D.E., Yu, J.X. (eds) Web Information Systems Engineering - WISE 2009. WISE 2009. Lecture Notes in Computer Science, vol 5802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04409-0_52
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DOI: https://doi.org/10.1007/978-3-642-04409-0_52
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