Journal of Korean Library and Information Science Society 2023 KCI Impact Factor : 1.02
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pISSN : 2466-2542
- https://journal.kci.go.kr/liss
KJCKorea
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A Study on the Analysis of Identification System and the Linkage Method of Academic-information
- Journal of Korean Library and Information Science Society
- Abbr : JKLISS
- 2020, 51(1), pp.115-143
- DOI : 10.16981/kliss.51.1.202003.115
- Publisher : Korean Library And Information Science Society
- Research Area : Interdisciplinary Studies > Library and Information Science
- Received : February 20, 2020
- Accepted : March 14, 2020
- Published : March 31, 2020
Ju-Yeon Gang
1,
Jae-Wook Seol
2,
Hyekyong Hwang
2
1전북대학교
2한국과학기술정보연구원
Accredited
ABSTRACT
With the era of the 4th Industrial Revolution, the number of data-centric integrated researches increases. The integrated researches make information identification and linkage more important, so it is necessary to seek a method to efficiently manage and share academic-information for supporting the researches. Therefore, this study aims to analyze identification system and linkable information types of 12 major academic search engines and bibliographic databases(ASEBDs) in Korea and abroad and to propose a method to identify and link academic-information. The analysis was conducted 2 times, and academic-information types, searchable fields, linkable information types, used identification system were investigated. As a result, the ASEBDs link directly or/and indirectly 3~4 information types based on their own identifiers with persistent identifiers. In addition, they identify academic-information semi-automatically based on machine learning methodology and collect and manage the related data. Finally, the method for academic-information linkage was proposed in terms of practice and society: linkage based on persistent identifiers and linkage based on collaborative network of institutions.
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