Journal of the Korean Society for Library and Information Science
- P-ISSN1225-598X
- E-ISSN2982-6292
Examining the Intellectual Structure of Records Management & Archival Science in Korea with Text Mining
Abstract
In this study, the intellectual structure of Records Management & Archival Science in Korea was analyzed using document clustering, a widely used method of text mining, and document similarity network analysis. The data used in this study were 145 articles written on the subject of Records Management & Archival Science selected from five major representative journals in the field of Library & Information Science in Korea, published from 2001 to 2006. The results of cluster analysis show that the core subject areas are “electronic records management and digital preservation,” “records management policy and institution,” “records description and catalogues,” and “records management domain and education.” The results of document analysis, which is more detailed than cluster analysis, show that “digital archiving,” a specialized subject in digital preservation, plays a central role. The results of serial analysis, which proceeds according to a timeline, show the emergence of “archival services” as a new subject area.
- keywords
- 텍스트 마이닝, 문헌 클러스터링, 네트워크 분석, 패스파인더 네트워크, 기록관리학, 지적구조, Text Mining, Document Clustering, Network Analysis, Pathfinder Network, Records Management & Archival Science, Intellectual Structure, Text Mining, Document Clustering, Network Analysis, Pathfinder Network, Records Management & Archival Science, Intellectual Structure
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