@conference {163, title = {Spatio-Temporal-Thematic Analysis of Citizen Sensor Data: Challenges and Experiences}, booktitle = {Web Information Systems Engineering - WISE 2009, 10th International Conference}, volume = {5802}, year = {2009}, pages = {539{\textendash}553}, publisher = {Springer}, organization = {Springer}, address = {Poznan, Poland}, 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 [1] that extracts and facilitates the spatio-temporal-thematic exploration of event descriptor summaries.

}, doi = {10.1007/978-3-642-04409-0_52}, url = {http://dx.doi.org/10.1007/978-3-642-04409-0_52}, author = {Meenakshi Nagarajan and Karthik Gomadam and Amit Sheth and Ajith Ranabahu and Raghava Mutharaju and Ashutosh Jadhav}, editor = {Gottfried Vossen and Darrell D. E. Long and Jeffrey Xu Yu} }