초록

용어보기논문에서 용어와 풀이말을 자동 추출한 결과로, 시범 서비스 중입니다. AI-Helper

Abstract ▼ AI-Helper

In recent years, social media has become ubiquitous and important for social networking and content sharing. Especially, in the disaster area, social media supports backchannel communications, allowing for wide-scale interaction that can be collectively resourceful, self-policing, and generative of ...

In recent years, social media has become ubiquitous and important for social networking and content sharing. Especially, in the disaster area, social media supports backchannel communications, allowing for wide-scale interaction that can be collectively resourceful, self-policing, and generative of information that is otherwise hard to obtain. At the time of great Japan and Haiti earthquake, social media channels actively were utilizing to grasp the damage, to warn, and to exchange information. This paper is to introduce the model for sensing the signs of inundation and detecting inundation risk areas by analyzing big data related to disasters. This model is comprised of three steps: a sign sensing step through monitoring and analyzing unstructured data such as social media, a risk detecting step through comparing and analyzing structured data such as precipitation, inundation hazard maps, and so forth, and a disaster status dissemination step to disaster related organizations, local governments, and the public. By applying our model to Gangnam inundation damage, 2011, in Korea, we substantiated that there is the potential for utilization on our model.

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