Earticle

초록

영어

The increased use of Social Network Services has led to an increase of availability of information. In addition, information found within SNS posts can be useful for victims in disaster-affected areas. However, a method for retrieving disaster-related information has not yet been created, thus making it difficult to find disaster-related information in SNS posts. Accordingly, this paper suggests a system which can provide efficient information when disasters occur. This system calculates three attributes of disasters. First, the Filtering module can search disaster related tweets. Moreover, it can extract the attributes of disasters systematically. Second, a manager can determine the attributes of a disaster manually by using the Decision module. In this module, disaster type, location and risk level attributes are determined. Once all of the attributes are determined, the Display module shows the attributes of the disaster. This system will provide citizens with more up-to-date disaster information.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1. Second-order headings
  2.2. Second-order headings
 3. System Design
  3.1. Managers
  3.2. Application
  3.3. Databases Schema
 4. Scenario of the System
  4.1. Preference Menu
  4.2. Filtering Menu
  4.3. DecisionModel Menu
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Younghak Chun [ Pukyong Natinal University, Dept. of IT Convergence and Application Engineering ]
• Hyun Suk Hwang [ Pukyong National University, Interdisciplinary Program of Information Systems, 45, Yongso-ro, Nam-Gu, 608-737, Busan, South Korea ]
• Chang Soo Kim [ Pukyong Natinal University, Dept. of IT Convergence and Application Engineering ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605