人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
原著論文
異種協調型災害情報支援システム実現に向けた基盤技術の構築
鳥海 不二夫篠田 孝祐榊 剛史栗原 聡風間 一洋野田 五十樹
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2014 年 29 巻 1 号 p. 113-119

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Traditionally, the support in the event of a disaster were based on hardware, the expertise are strongly required to rescuers. For this reason, in the case that the disaster had been occured, the role of the people expressly divided to the victims, the rescuers, and the onlookers. On the other hand, in the case of the Great East Japan Earthquake, many engineers try to develope information support systems for the victims by information technologies. It can be estimated that one of the reasons to realize these systems is generally utilization of information infrastructures such as web in our daily life. After such situation is considered, we started a project ``Collaborative Heterogeneous Integration of Disaster and Rescue Information (CHIDRI)'' which adopted to Challenge for Realizing Early Profits (CREP) in Japanese Society for Artificial Intelligence. In this paper, we explain the frame, the purpose, and the activities of the challenge. Traditionally, the support in the event of a disaster were based on hardware, the expertise are strongly required to rescuers. For this reason, in the case that the disaster had been occurred, the role of the people expressly divided to the victims, the rescuers, and the onlookers. On the other hand, in the case of the Great East Japan Earthquake, many engineers tried to develop information support systems for the victims by information technologies. This fact shows that some of engineers become not onlookers but information providers. It can be estimated that one of the reasons why these systems were realized is generally utilization of information infrastructures such as web in our daily life. After such situation is considered, we started a project ``Collaborative Heterogeneous Integration of Disaster and Rescue Information (CHIDRI)'' which adopted to Challenge for Realizing Early Profits (CREP) in Japanese Society for Artificial Intelligence. In this paper, we explain the frame, the purpose, and the activities of the challenge.

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© 人工知能学会 2014
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