AI advisor platform for disaster response based on big data

被引:18
|
作者
Lee, Minho [1 ]
Mesicek, Libor [2 ]
Bae, Kitae [1 ]
Ko, Hoon [3 ]
机构
[1] Seoul Media Inst Technol, Dept New Media Business, Seoul, South Korea
[2] Univ JE Purkyne, Dept Econ & Management, Usti Nad Labem, Czech Republic
[3] Chosun Univ, IT Res Inst, 309 Pilmun Daero, Gwangju, South Korea
来源
基金
新加坡国家研究基金会;
关键词
analytic hierarchy process; big data; collaborative filtering; hierarchy structure; knowledge suggest system; multiple‐ advisor;
D O I
10.1002/cpe.6215
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In the past, the emergency responses to disasters such as fire outbreak accidents, accidents that require first aid were slow and not optimal. With human intellect, it was impractical to analyze vast amounts of data regarding the continuity of the numerous environmental changes and the correlation there may be with emergency responses based on past experiences with similar situations. Today, artificial intelligence is presented as a powerful tool to various organizations. Many have already made various attempts to apply this technology as an advisor for emergency response. This research expands on the practicality and effectiveness of utilizing AI as an advisory platform for disaster response based on the big-data, and also it designs an AI advisor platform for disaster response with big data-based algorithms. Finally AI advisor function are defined as part of the AI advisor platform, the voice recognition function, natural language processing function, big data coordination function.
引用
收藏
页数:9
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