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http://dx.doi.org/10.15207/JKCS.2018.9.8.025

A Study on Disaster Information Support using Big Data  

Shin, Bong-Hi (Dept. of Computer Science & Engineering, Incheon National University)
Jeon, Hye-Kyoung (YM-NaeulTec)
Publication Information
Journal of the Korea Convergence Society / v.9, no.8, 2018 , pp. 25-32 More about this Journal
Abstract
Recently, the size and type of disasters in Korea has been diversified. However, Korea has not been able to build various information support systems to predict these disasters.Many other organizations also provide relevant information. This information is mainly provided on the Web, but most of it is not real time information. In this study, we have paid attention to support information using big data to provide better quality real - time information together with information provided by institutions. Big data has a large amount of information with real-time property, and it can make customized service using it. Among them, SNS such as Twitter and Facebook can be used as a new information collection medium in case of disaster. However, it is very difficult to retrieve necessary information from too much information, and it is difficult to collect intuitive information. For this purpose, this study develops an information support system using Twitter. The system retrieves information using the Twitter hashtag. Also, information mapping is performed on the map so that intuitive information can be grasped. For system evaluation, information extraction, degree of mapping, and recommendation speed are evaluated.
Keywords
Convergence; Big Data; Twitter; HashTag; Information Collection;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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