A Study on Developing a Metadata Search System Based on the Text Structure of Korean Studies Research Articles (한국학 연구 논문의 텍스트 구조 기반 메타데이터 검색 시스템 개발 연구)

Song min-sun (송민선); KO, YOUNG MAN (고영만); Seung-Jun Lee (이승준)

doi:10.3743/KOSIM.2016.33.3.155

A Study on Developing a Metadata Search System Based on the Text Structure of Korean Studies Research Articles

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2016, 33(3), pp.155~176
DOI : 10.3743/KOSIM.2016.33.3.155
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : August 17, 2016
Accepted : September 20, 2016
Published : September 30, 2016

Song min-sun ¹, KO, YOUNG MAN ², Seung-Jun Lee ¹

¹성균관대학교 정보관리연구소
²성균관대학교

Accredited

ABSTRACT

This study aims to develope a scholarly metadata information system based on conceptual elements of text structure of Korean studies research articles and to identify the applicability of text structure based metadata as compared with the existing similar system. For the study, we constructed a database(Korean Studies Metadata Database, KMD) with text structure based on metadata of Korean Studies journal articles selected from the Korea Citation Index(KCI). Then we verified differences between KCI system and KMD system through search results using same keywords. As a result, KMD system shows the search results which meet the users’ intention of searching more efficiently in comparison with the KCI system. In other words, even if keyword combinations and conditional expressions of searching execution are same, KMD system can directly present the content of research purposes, research data, and spatial-temporal contexts of research et cetera as search results through the search procedure.

KEYWORDS

Korean studies, research articles, text structure, semantic structure, metadata search system

Citation status

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

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

KJCKorea
Journal Central

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

A Study on Developing a Metadata Search System Based on the Text Structure of Korean Studies Research Articles

ABSTRACT

KEYWORDS

Citation status

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

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

A Study on Developing a Metadata Search System Based on the Text Structure of Korean Studies Research Articles

ABSTRACT

KEYWORDS

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