Research Article
Crowdsensing-based Web Crawler for Emergency Event Analysis
@INPROCEEDINGS{10.4108/eai.18-6-2016.2264141, author={Wei Wu and Xiao Wei and Bin Pan and Xiaokang Xu}, title={Crowdsensing-based Web Crawler for Emergency Event Analysis}, proceedings={Workshop on the Crowdsensing and intelligent sensing on Mobile Media Analytics}, publisher={ACM}, proceedings_a={SMMA}, year={2016}, month={12}, keywords={emergency event management web crawler crowd sensor social computing semantic link network}, doi={10.4108/eai.18-6-2016.2264141} }- Wei Wu
Xiao Wei
Bin Pan
Xiaokang Xu
Year: 2016
Crowdsensing-based Web Crawler for Emergency Event Analysis
SMMA
ACM
DOI: 10.4108/eai.18-6-2016.2264141
Abstract
In the domain of emergency event analysis, it is still a difficult issue to acquire the event information from the Web efficiently. To solve the problem, this paper proposes a crowdsensing-based Web crawler for emergency event analysis. When an emergency event occurs, web users post event information on the Web with geographical position, which can be regarded as crowd sensors. In the proposed method, the crawler takes advantage of the information from these crowd sensors, such as semantic information, geographical information, sentiment information, etc. to get the information of event efficiently. Experimental results show that the proposed method can improve the efficiency of crawler when compared with common crawlers.
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