Journal of Disaster Research
Online ISSN : 1883-8030
Print ISSN : 1881-2473
ISSN-L : 1881-2473
Special Issue on Urban Resilience for Mega Earthquake Disasters Part 2
Disaster Information System Using Natural Language Processing
Naoko KosakaAkira KoyamaTomohiro KokogawaYuji MaedaHiroko KoumotoShingo SuzukiKenshi YamaguchiKentaro Inui
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JOURNAL OPEN ACCESS

2017 Volume 12 Issue 1 Pages 67-78

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Abstract

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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© 2017 Fuji Technology Press Ltd.

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