Impromptu Crisis Mapping to Prioritize Emergency Response

被引：19

作者：

Avvenuti, Marco ^{[1
]}

Cresci, Stefano ^{[2
]}

Del Vigna, Fabio ^{[3
]}

Tesconi, Maurizio ^{[3
]}

机构：

[1] Univ Pisa, Dept Informat Engn, Comp Syst, I-56100 Pisa, Italy

[2] Italian Natl Res Council IIT CNR, Inst Informat & Telemat, Pisa, Italy

[3] Italian Natl Res Council, Pisa, Italy

来源：

COMPUTER | 2016年 / 49卷 / 05期

关键词：

computing and social issues; crisis mapping; data analysis; data mining; disaster management; emergency response; situational awareness; visualization;

D O I：

10.1109/MC.2016.134

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

To visualize post-emergency damage, a crisis-mapping system uses readily available semantic annotators, a machine-learning classifier to analyze relevant tweets, and interactive maps to rank extracted situational information. The system was validated against data from two recent disasters in Italy.

引用

页码：28 / 37

页数：10

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