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A Study on the Intellectual Structure of Metadata Research by Using Co-word Analysis

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2016, 33(3), pp.63~83
  • DOI : 10.3743/KOSIM.2016.33.3.063
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : August 2, 2016
  • Accepted : September 8, 2016
  • Published : September 30, 2016

Ye Jin Choi 1 Yeon Kyoung Chung ORD ID 2

1이화여자대학교 문헌정보학과
2이화여자대학교

Accredited

ABSTRACT

As the usage of information resources produced in various media and forms has been increased, the importance of metadata as a tool of information organization to describe the information resources becomes increasingly crucial. The purposes of this study are to analyze and to demonstrate the intellectual structure in the field of metadata through co-word analysis. The data set was collected from the journals which were registered in the Core collection of Web of Science citation database during the period from January 1, 1998 to July 8, 2016. Among them, the bibliographic data from 727 journals was collected using Topic category search with the query word ‘metadata’. From 727 journal articles, 410 journals with author keywords were selected and after data preprocessing, 1,137 author keywords were extracted. Finally, a total of 37 final keywords which had more than 6 frequency were selected for analysis. In order to demonstrate the intellectual structure of metadata field, network analysis was conducted. As a result, 2 domains and 9 clusters were derived, and intellectual relations among keywords from metadata field were visualized, and proposed keywords with high global centrality and local centrality. Six clusters from cluster analysis were shown in the map of multidimensional scaling, and the knowledge structure was proposed based on the correlations among each keywords. The results of this study are expected to help to understand the intellectual structure of metadata field through visualization and to guide directions in new approaches of metadata related studies.

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