Survey of data management and analysis in disaster situations

被引:152
作者
Hristidis, Vagelis [1 ]
Chen, Shu-Ching [1 ]
Li, Tao [1 ]
Luis, Steven [1 ]
Deng, Yi [1 ]
机构
[1] Florida Int Univ, Sch Comp & Informat Sci, Miami, FL 33199 USA
基金
美国国家科学基金会;
关键词
Disaster management; Business continuity; Data analysis; Information retrieval; DECISION-SUPPORT-SYSTEM; INFORMATION EXTRACTION; WEB SEARCH; INTEGRATION; RETRIEVAL; MODELS;
D O I
10.1016/j.jss.2010.04.065
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The area of disaster management receives increasing attention from multiple disciplines of research. A key role of computer scientists has been in devising ways to manage and analyze the data produced in disaster management situations. In this paper we make an effort to survey and organize the current knowledge in the management and analysis of data in disaster situations, as well as present the challenges and future research directions. Our findings come as a result of a thorough bibliography survey as well as our hands-on experiences from building a Business Continuity Information Network (BCIN) with the collaboration with the Miami-Dade county emergency management office. We organize our findings across the following Computer Science disciplines: data integration and ingestion, information extraction, information retrieval, information filtering, data mining and decision support. We conclude by presenting specific research directions. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:1701 / 1714
页数:14
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