Disambiguating Author Names Automatically for Institutional Repository

被引：0
|
作者：
Zhang W. [1 ]
Zhu Z. [1 ]
Li Y. [2 ]
Lu L. [1 ]
Liu W. [1 ]
机构：
[1] Lanzhou Information Center, Chinese Academy of Sciences, Lanzhou
[2] ShanghaiTech University Library, Shanghai
来源：
Data Analysis and Knowledge Discovery | 2019年 / 3卷 / 06期
关键词：
Author Name Disambiguation; CSpace; Institutional Repository; Name Disambiguation;
D O I：
10.11925/infotech.2096-3467.2018.0245
中图分类号：
G2 [信息与知识传播];
学科分类号：
05 ; 0503 ;
摘要：
[Objective] This paper tries to automatically finish the disambiguation of author names in institutional repositories, and then provide human intervention mechanism at the right time. [Methods] First, we analyzed the unqiue features of the author name disambiguation. Then, we constructed a general disambiguation framework for the institutional repository. [Results] Our framework achieved good results in practice with more than 99% of precision. [Limitations] We did not examine the author names without affiliation addresses, and there may be exceptions in the alias of authors and institutions. [Conclusions] This framework could effectively disambiguate author names in institutional repositories, which helps us provide more value-added services. © 2019 The authors.
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页码：92 / 98
页数：6
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