Open AccessDisaster 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.