@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 = {<p class="rtejustify">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.</p>
},
	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}
}
