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Title of Journal: Scientometrics

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Abbravation: Scientometrics

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Springer Netherlands

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DOI

10.1002/best.200890032

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1588-2861

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Semantic fingerprintsbased author name disambigua

Authors: Hongqi Han Changqing Yao Yuan Fu Yongsheng Yu Yunliang Zhang Shuo Xu
Publish Date: 2017/03/15
Volume: 111, Issue: 3, Pages: 1879-1896
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Abstract

Author name disambiguation is an important problem that needs to be resolved in bibliometric analysis or tech mining Many techniques have been presented however most of them require a long run time or additional information A new method based on semantic fingerprints was presented to disambiguate author names without external data A manually annotated dataset was built to testify on the efficiency of the presented method Experiments using coauthor features institution features and text fingerprints were conducted respectively We found that the first two methods had higher precision but their recall was low and the text fingerprint method had higher recall and satisfied precision Based on these results we integrated coauthor features institution features and text fingerprints to provide semantic fingerprints for disambiguating author names and achieving better performance on the FmeasureThis work is mainly supported by the National Natural Science Foundation of China Project 71473237 and partially supported by The National Key Technology RD Program of Chinese 12th FiveYear Plan 2011–2015 2015BAH25F01 and The Program of the China Knowledge Centre for Engineering Science and Technology CKCEST2016210 Authors are grateful to the National Natural Science Foundation of China the Ministry of Science and Technology of China and the Chinese Academy of Engineering for their financial support to carry out this work

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