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Data Analysis and Knowledge Discovery  2019, Vol. 3 Issue (6): 92-98    DOI: 10.11925/infotech.2096-3467.2018.0245
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Disambiguating Author Names Automatically for Institutional Repository
Wangqiang Zhang1(),Zhongming Zhu1,Yamei Li2,Linong Lu1,Wei Liu1
1(Lanzhou Information Center, Chinese Academy of Sciences, Lanzhou 730000, China)
2(ShanghaiTech University Library, Shanghai 201210, China)
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[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.

Key wordsInstitutional Repository      Name Disambiguation      Author Name Disambiguation      CSpace     
Received: 07 March 2018      Published: 15 August 2019

Cite this article:

Wangqiang Zhang,Zhongming Zhu,Yamei Li,Linong Lu,Wei Liu. Disambiguating Author Names Automatically for Institutional Repository. Data Analysis and Knowledge Discovery, 2019, 3(6): 92-98.

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