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http://dx.doi.org/10.5392/JKCA.2021.21.12.001

An Efficient Expert Discrimination Scheme Based on Academic Documents  

Choi, Do-Jin (충북대학교)
Oh, Young-Ho (충북대학교)
Pyun, Do-Woong (충북대학교)
Bang, Min-Ju (한양대학교)
Jeon, Jong-Woo (충북대학교)
Lee, Hyeon-Byeong (충북대학교)
Park, Deukbae (충북대학교)
Lim, Jong-Tae (충북대학교)
Bok, Kyoung-Soo (원광대학교)
Yoo, Hyo-Keun (현대엔지비)
Yoo, Jae-Soo (충북대학교)
Publication Information
The Journal of the Korea Contents Association / v.21, no.12, 2021 , pp. 1-12 More about this Journal
Abstract
An objective expert discrimination scheme is needed for finding researchers who have insight and knowledge about a particular field of research. There are two types of expert discrimination schemes such as a citation graph based method and a formula based method. In this paper, we propose an efficient expert discrimination scheme considering various characteristics that have not been considered in the existing formula based methods. In order to discriminate the expertise of researchers, we present six expertise indices such as quality, productivity, contributiveness, recentness, accuracy, and durability. We also consider the number of social citations to apply the characteristics of academic search sites. Finally, we conduct various experiments to prove the validity and feasibility of the proposed scheme.
Keywords
Expert Discrimination; Big Data; Ranking; Search; Database;
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  • Reference
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