Disaster Information System Using Natural Language Processing | Zendy

Naoko Kosaka | Zendy; Akira Koyama | Zendy; Tomohiro Kokogawa | Zendy; Yuji Maeda | Zendy; Hiroko Koumoto | Zendy; Shingo Suzuki | Zendy; Kenshi Yamaguchi | Zendy; Kentaro Inui | Zendy

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Disaster Information System Using Natural Language Processing

Author(s) -

Naoko Kosaka,

Akira Koyama,

Tomohiro Kokogawa,

Yuji Maeda,

Hiroko Koumoto,

Shingo Suzuki,

Kenshi Yamaguchi,

Kentaro Inui

Publication year - 2017

Publication title -

journal of disaster research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.332

H-Index - 18

eISSN - 1883-8030

pISSN - 1881-2473

DOI - 10.20965/jdr.2017.p0067

Subject(s) - computer science , emergency management , work (physics) , incident management , natural disaster , risk analysis (engineering) , computer security , engineering , business , mechanical engineering , physics , meteorology , political science , law

In this paper, we analyze incident response management work using free-formed information that is important for incident response communication. We develop a standard operating procedure for the work and study a support method based on a language processing technology to prevent missing or overlapping necessary tasks and optimize management of progress and integration management of related tasks. A prototype system was developed and evaluated in a workshop held by a local government, or in an exercise. As a result, it is confirmed that the use of language processing technology can make incident response management work efficient.

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