Review of Author Name Disambiguation Techniques for Citation Analysis (Review of Author Name Disambiguation Techniques for Citation Analysis )

김현정

Review of Author Name Disambiguation Techniques for Citation Analysis

Journal of the Korean Biblia Society for Library and Information Science
2012, 23(3), pp.5-17
Publisher : Journal Of The Korean Biblia Society For Library And Information Science
Research Area : Interdisciplinary Studies > Library and Information Science

김현정 ¹

¹서울여자대학교

Accredited

ABSTRACT

In citation analysis, author names are often used as the unit of analysis and some authors are indexed under the same name in bibliographic databases where the citation counts are obtained from. There are many techniques for author name disambiguation, using supervised, unsupervised, or semisupervised learning algorithms. Unsupervised approach uses machine learning algorithms to extract necessary bibliographic information from large-scale databases and digital libraries, while supervised approaches use manually built training datasets for clustering author groups for combining them with learning algorithms for author name disambiguation. The study examines various techniques for author name disambiguation in the hope for finding an aid to improve the precision of citation counts in citation analysis, as well as for better results in information retrieval.

KEYWORDS

Author Name Disambiguation, Citation Analysis, Information Retrieval, Algorithm, Homonymous Names

Citation status

* References for papers published after 2023 are currently being built.

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