DocumentCode
1663316
Title
Author Name Disambiguation in Citations
Author
Yang, Kai-Hsiang ; Wu, Yi-Hsuan
Author_Institution
Dept. of Math. & Inf. Educ., Nat. Taipei Univ. of Educ., Taipei, Taiwan
Volume
3
fYear
2011
Firstpage
335
Lastpage
338
Abstract
Members of the academic community have increasingly turned to digital libraries to search for the latest work of their peers. On account of their role in the academic community, it is very important that these digital libraries collect citations in a consistent, accurate, and up-to-date manner, yet they do not correctly compile citations for myriads of authors for various reasons including authors with the same name, a problem known as the "name ambiguity problem." This problem occurs when multiple authors share the same name and particularly when names are simplified as in cases where names merely contain the first initial and the last name. In this paper, we propose an automatic algorithm to disambiguate authors in citations by using their specific attribute on the Web. A binary classifier and a cluster separator are applied to cluster citations. Our experiment results show that the disambiguation accuracy can be improved from 51% to 73% when using Web information.
Keywords
citation analysis; digital libraries; pattern classification; Web information; academic community; author name disambiguation; binary classifier; cluster citations; cluster separator; digital libraries; name ambiguity problem; Accuracy; Clustering algorithms; Libraries; Matched filters; Measurement; Noise; Particle separators; Author Name Disambiguation; Citation Grouping;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on
Conference_Location
Lyon
Print_ISBN
978-1-4577-1373-6
Electronic_ISBN
978-0-7695-4513-4
Type
conf
DOI
10.1109/WI-IAT.2011.181
Filename
6040873
Link To Document