메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject

A Study on Disaster Information Support using Big Data
Recommendations
Search

빅 데이터를 이용한 재해 정보 지원에 관한 연구

논문 기본 정보

Type
Academic journal
Author
Journal
korea convergence society 한국융합학회논문지 한국융합학회논문지 제9권 제8호 KCI Accredited Journals
Published
2018.1
Pages
25 - 32 (8page)

Usage

cover
A Study on Disaster Information Support using Big Data
Ask AI
Recommendations
Search

Abstract· Keywords

Report Errors
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.

Contents

No content found

References (16)

Add References

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Recently viewed articles

Comments(0)

0

Write first comments.