본문 바로가기
  • Home

Analysis of Trends on Disaster Safety Information based on Language Network Analysis Methods

  • Journal of the Korean Biblia Society for Library and Information Science
  • 2017, 28(3), pp.67-93
  • DOI : 10.14699/kbiblia.2017.28.3.067
  • Publisher : Journal Of The Korean Biblia Society For Library And Information Science
  • Research Area : Interdisciplinary Studies > Library and Information Science

Jeong Jina 1 Jeonghimchan 2 Yong Kim 3

1전주대학교
2전북대학교 일반대학원 기록관리학과 대학원
3전북대학교

Accredited

ABSTRACT

This study aims to investigate research trends on disaster safety Information based on the language network analysis methods. To accomplish it, we collected 312 Korean thesis and scholarly articles on disaster safety information published between 2008 and 2017 from RISS (Research Information Sharing Service) site. With the collected data, this study performed the statistical analysis based on bibliographic data. Also, this study performed the analysis of frequency and language network on keyword extracted from titles on the collected scholarly articles and thesis. This study found out that researches recently on Bigdata related to disaster safety information have been rapidly increased. Also, the needs of sharing and utilizing disaster safety information have increased. Also the various types of disaster safety information such as spatial data, real-time information, geographic information has been used for the disaster response.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.