Research on the Classification Rules of Database Indexes in Author Name Disambiguation

DOI

10.2991/msmi-18.2018.32How to use a DOI?

Keywords

Author name disambiguation, Indicator analysis, Priority framework.

Abstract

In recent years, with the involvement of more scholars in academic research and rapid development of digital libraries, author name disambiguation has been one of the most critical problems. In this paper, we study how to make the best use of the author's personal information to distinguish different authors from a mixture of records with the same author’s name. We construct an indicator evaluation system and a priority framework and establish a series of appropriate classification rules. After data validation, our classifier not only fits the characteristics of author information data, but also maximizes the value of author's personal information to solve the problem of author name disambiguation.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yue ZHOU
AU  - Tian LI
AU  - Lu-Yao LIU
AU  - Yu-Ying ZHONG
AU  - Zheng-Lu YU
AU  - Jun-Peng YUAN
PY  - 2018/04
DA  - 2018/04
TI  - Research on the Classification Rules of Database Indexes in Author Name Disambiguation
BT  - Proceedings of the 2018 5th International Conference on Management Science and Management Innovation (MSMI 2018)
PB  - Atlantis Press
SP  - 180
EP  - 184
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-18.2018.32
DO  - 10.2991/msmi-18.2018.32
ID  - ZHOU2018/04
ER  -