A Method for Same Author Name Disambiguation in Domestic Academic Papers

Shin,, D. , & Yang,, K. (2017). A Method for Same Author Name Disambiguation in Domestic Academic Papers. 한국비블리아학회지, 28(4), 301-319, https://doi.org/10.14699/kbiblia.2017.28.4.301

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Abstract

The task of author name disambiguation involves identifying an author with different names or different authors with the same name. The author name disambiguation is important for correctly assessing authors' research achievements and finding experts in given areas as well as for the effective operation of scholarly information services such as citation indexes. In the study, we performed error correction and normalization of data and applied rules-based author name disambiguation to compare with baseline machine learning disambiguation in order to see if human intervention could improve the machine learning performance. The improvement of over 0.1 in F-measure by the corrected and normalized email-based author name disambiguation over machine learning demonstrates the potential of human pattern identification and inference, which enabled data correction and normalization process as well as the formation of the rule-based diambiguation, to complement the machine learning's weaknesses to improve the author name disambiguation results.

keywords: 저자명 식별, 머신러닝, 룰 베이스 방법, 휴리스틱

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Article Contents

Vol.28 No.4

A Method for Same Author Name Disambiguation in Domestic Academic Papers

Abstract

한국비블리아학회지