Empirical Study on the Selection Problem of Peer-review Experts in Scientific Evaluation by Scientometrics

被引：2

作者：

He, Ying ^{[1
]}

Tian, Kun ^{[2
]}

机构：

[1] Tianjin Normal Univ, Sch Management, 393 Binshuixi Rd, Tianjin 300387, Peoples R China

[2] Tianjin Normal Univ, Coll Comp & Informat Engn, 393 Binshuixi Rd, Tianjin 300387, Peoples R China

来源：

PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON E-BUSINESS, INFORMATION MANAGEMENT AND COMPUTER SCIENCE | 2018年

关键词：

Scientific Evaluation; Peer-review Experts; Experts Selection; Intelligent Information Processing; Scientometrics; Scientific and Technological Research Administration; ONTOLOGY; DOMAIN;

D O I：

10.1145/3210506.3210510

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The problem of how to select suitable peer-review experts for scientific evaluation has been recognized by scientific communities around the world. This paper proposes the use of Scientometrics methods such as the scientific domain ontology and co-word analysis to implement the principle of intelligent information processing on the problem in order to find the "small" scientific communities with the same target systems of scientific concepts and research contexts as those to be evaluated and hence in turn to select the most "knowledgeable" and suitable peer-review experts for the evaluation.

引用

页码：17 / 21

页数：5

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