Research on the Classification Rules of Database Indexes in Author Name Disambiguation
- https://doi.org/10.2991/msmi-18.2018.32How to use a DOI?
- Author name disambiguation, Indicator analysis, Priority framework.
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/msmi-18.2018.32 ID - ZHOU2018/04 ER -