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New Technology of Library and Information Service  2013, Vol. 29 Issue (7/8): 69-74    DOI: 10.11925/infotech.1003-3513.2013.07-08.10
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Research on Author Name Disambiguation Algorithm in the Literature Database
Guo Shu1,2
1. National Science Library, Chinese Academy of Sciences, Beijing 100190, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China
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Abstract  This paper firstly analyzes a graphical framework for name disambiguation called GHOST, and then provides a modified name disambiguation algorithm combining with the text mining of literature information. The new algorithm is more suitable for literature database, making up for the limitations existed in GHOST. Based on selecting title and publication name as computing feature from the literature information, the experiment shows that the algorithm achieves high precision and recall value, and F1 reaches 84%, which is good enough for name disambiguation.
Key wordsAuthor name disambiguation      GHOST      Text mining      Disambiguation algorithm     
Received: 22 May 2013      Published: 02 September 2013



Cite this article:

Guo Shu. Research on Author Name Disambiguation Algorithm in the Literature Database. New Technology of Library and Information Service, 2013, 29(7/8): 69-74.

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