DocumentCode :
37403
Title :
Real-Time Crisis Mapping of Natural Disasters Using Social Media
Author :
Middleton, Stuart E. ; Middleton, Lee ; Modafferi, Stefano
Volume :
29
Issue :
2
fYear :
2014
fDate :
Mar.-Apr. 2014
Firstpage :
9
Lastpage :
17
Abstract :
The proposed social media crisis mapping platform for natural disasters uses locations from gazetteer, street map, and volunteered geographic information (VGI) sources for areas at risk of disaster and matches them to geoparsed real-time tweet data streams. The authors use statistical analysis to generate real-time crisis maps. Geoparsing results are benchmarked against existing published work and evaluated across multilingual datasets. Two case studies compare five-day tweet crisis maps to official post-event impact assessment from the US National Geospatial Agency (NGA), compiled from verified satellite and aerial imagery sources.
Keywords :
disasters; emergency management; geographic information systems; social networking (online); statistical analysis; VGI; gazetteer; geoparsed real-time tweet data streams; geoparsing result benchmarking; multilingual datasets; natural disasters; post-event impact assessment; real-time crisis map generation; social media crisis mapping platform; statistical analysis; street map; volunteered geographic information; Databases; Earthquakes; Floods; Geospatial analysis; Media; Real-time systems; Twitter; Databases; Earthquakes; Floods; Geospatial analysis; Media; NLP; Real-time systems; Twitter; VGI; crisis management; crisis mapping; geoparsing; intelligent systems; natural disaster; natural language processing; volunteered geographic information;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2013.126
Filename :
6692841
Link To Document :
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