JDR Vol.10 No.5 pp. 830-844
doi: 10.20965/jdr.2015.p0830


Computer-Assisted Databasing of Disaster Management Information Through Natural Language Processing

Kentaro Inui*1, Yotaro Watanabe*2, Kenshi Yamaguchi*1, Shingo Suzuki*3, Hiroko Koumoto*4, Naoko Kosaka*5, Akira Koyama*5, Tomohiro Kokogawa*5, and Yuji Maeda*5

*1Graduate School of Information Science, Tohoku University
Aoba, Sendai, Japan

*2Knowledge Discovery Research Laboratories, NEC Corporation, Japan

*3Disaster Prevention Research Institute, Kyoto University, Japan

*4Graduate School of Environment and Disaster Research, Tokoha University, Japan

*5Secure Platform Laboratories, Nippon Telegraph and Telephone Corporation, Japan

June 8, 2015
September 1, 2015
October 1, 2015
computer-assisted databasing, natural language processing

During times of disaster, local government departments and divisions need to communicate a broad range of information for disaster management to share the understating of the changing situation. This paper addresses the issues of how to effectively use a computer database system to communicate disaster management information and how to apply natural language processing technology to reduce the human labor for databasing a vast amount of information. The database schema was designed based on analyzing a collection of real-life disaster management information and the specifications of existing standardized systems. Our data analysis reveals that our database schema sufficiently covers the information exchanged in a local government during the Great East Earthquake. Our prototype system is designed so as to allow local governments to introduce it at a low cost: (i) the system’s user interface facilitates the operations for databasing given information, (ii) the system can be easily customized to each local municipality by simply replacing the dictionary and the sample data for training the system, and (iii) the system can be automatically adapted to each local municipality or each disaster incident through its capability of automatic learning from the user’s corrections to the system’s language processing outputs.

Cite this article as:
Kentaro Inui, Yotaro Watanabe, Kenshi Yamaguchi, Shingo Suzuki, Hiroko Koumoto, Naoko Kosaka, Akira Koyama, Tomohiro Kokogawa, , and Yuji Maeda, “Computer-Assisted Databasing of Disaster Management Information Through Natural Language Processing,” J. Disaster Res., Vol.10, No.5, pp. 830-844, 2015.
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Last updated on Feb. 25, 2021