Disaster information system using natural language processing

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

研究成果: Article

1 引用 (Scopus)

抜粋

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.

元の言語English
ページ(範囲)67-78
ページ数12
ジャーナルJournal of Disaster Research
12
発行部数1
DOI
出版物ステータスPublished - 2017 2

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Engineering (miscellaneous)

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  • これを引用

    Kosaka, N., Koyama, A., Kokogawa, T., Maeda, Y., Koumoto, H., Suzuki, S., Yamaguchi, K., & Inui, K. (2017). Disaster information system using natural language processing. Journal of Disaster Research, 12(1), 67-78. https://doi.org/10.20965/jdr.2017.p0067