Disaster information system using natural language processing

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

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)67-78
Number of pages12
JournalJournal of Disaster Research
Issue number1
Publication statusPublished - 2017 Feb


  • Activity log
  • Incident response
  • Natural language processing
  • SOP (standard operating procedure)


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