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.

文献情報

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年03月 (in English)

BibTeX フォーマット

@InProceedings{ shonan16,
	author = {Asanobu KITAMOTO},
	title = {Situational Awareness by Social Solutions: Textual Geo-Tagging and
Photographic Crowd-Reporting},
	booktitle = {NII Shonan Meeting: Big Data: Challenges and Opportunities for Disaster Recovery},
	pages = {},
	year = 2016,
	month = 03,
	note = { (in English)},
}

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