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Construction of a Disaster Response Automatic Extraction Support System

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Web, Artificial Intelligence and Network Applications (WAINA 2019)

Abstract

Japan is a country of frequent natural disasters, and large-scale natural disasters occurs every year. Therefore, we conducted a hearing survey of disaster response to local governments and summarized the disaster response process. As a result, we found that the municipal disaster countermeasures headquarters is spending a great deal of time collecting and organizing various disaster information. Therefore, in order to solve the issues of municipal disaster countermeasures headquarters, we have constructed the disaster response automatic extraction support system. The disaster response automatic extraction support system accumulates various disaster information such as disaster response record of local governments and local disaster prevention plan. In addition, this system supports decision-making by extracting past disaster response records according to the current situation of municipal disaster countermeasures headquarters. This system consists of a disaster information accumulating system for accumulating data and a disaster information visualization and analysis system for visualizing and analyzing accumulated disaster information. The disaster information visualization and analysis system also visualizes and analyzes social media information.

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References

  1. Takahagi, K., Ishida, T., Sakuraba, A., Sugita, K., Uchida, N., Shibata, Y.: Construction of a mega disaster crisis management system. J. Internet Serv. Inf. Secur. (JISIS) 5(4), 20–40 (2015)

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  2. Ishida, T., Hirohara, Y., Uchida, N., Shibata, Y.: Implementation of an integrated disaster information cloud system for disaster control. J. Internet Serv. Inf. Secur. (JISIS) 7(4), 1–20 (2017)

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Acknowledgments

This research was supported by JSPS KAKENHI Grant Number JP16K00119.

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Correspondence to Tomoyuki Ishida .

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Ohyanagi, T., Ishida, T., Uchida, N., Shibata, Y. (2019). Construction of a Disaster Response Automatic Extraction Support System. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2019. Advances in Intelligent Systems and Computing, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-15035-8_49

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