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Research Publication and Presentation |
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Situational Awareness by Social Solutions: Textual Geo-Tagging and Photographic Crowd-Reporting
In the case of disasters, essential information for situational
awareness is what is happening where and what time. This requires
massive data collection schemes not only traditional schemes such as
government and mass-media but also alternative schemes such as social
network and crowd-sourcing. We will introduce two of our approaches,
textual geo-tagging and photographic crowd-reporting to collect and
analyze reports for situational awareness. The former is a solution for
information overload, in which too much information should be divided
into spatio-temporal units, while the latter is a solution for
information scarcity, in which too little information should be enhanced
by crowd reporting to fill spatio-temporal gaps. We will demonstrate our
demo systems, GeoNLP and Snowlog, to show the current status and future
potential of two approaches.
Citation
Asanobu KITAMOTO,
"Situational Awareness by Social Solutions: Textual Geo-Tagging and Photographic Crowd-Reporting",
NII Shonan Meeting: Big Data: Challenges and Opportunities for Disaster Recovery, 2016-3
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