An Approach Towards a Decentralised Disaster Management Information Network

Author(s):  
M. Scalem ◽  
S. Bandyopadhyay ◽  
A. K. Sircar
1983 ◽  
Vol 14 (4) ◽  
pp. 588-606 ◽  
Author(s):  
Salvatore Belardo ◽  
Harold L. Pazer ◽  
William A. Wallace ◽  
William D. Danko

2017 ◽  
Vol 12 (1) ◽  
pp. 8-26 ◽  
Author(s):  
Hannah Swee

In Far North Queensland, a region in the northeast of Australia, cyclones are an annual risk. As a result of this frequency of cyclonic activity, different forms of cyclone knowledge exist ranging from disaster management information to local conceptualizations. For the people that inhabit this region, cyclones are a lived reality that are known in different, seemingly contradictory ways. Drawing on fifteen months of ethnographic fieldwork conducted in Far North Queensland from 2012 to 2015, this article explores how local cyclone knowledge is assembled from a variety of heterogeneous factors that change and fluctuate through time, and are subject to an ongoing process of evaluation.


2015 ◽  
Vol 10 (5) ◽  
pp. 830-844 ◽  
Author(s):  
Kentaro Inui ◽  
◽  
Yotaro Watanabe ◽  
Kenshi Yamaguchi ◽  
Shingo Suzuki ◽  
...  

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.


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