Author Name Disambiguation in Bibliographic Databases: A Survey
Researchpedia Journal of Computing, Volume 2, Issue 1, Article 9, Pages 87-110, December 2021
Muhammad Shoaiba, Ali Daudb, Tehmina Amjadc*
aDepartment of Computer Science, Comsats University, Sahiwal Campus, Pakistan
bDepartment of Information Systems and Technology, College of Computer Science and Engineering, University of Jeddah, Saudi Arabia
cDepartment of Computer Science and Software Engineering, International Islamic University, Islamabad, Pakistan
Corresponding author: Tehmina Amjad (tehminaamjad@iiu.edu.pk)
ABSTRACT Entity resolution is a challenging and hot research area in the field of Information Systems for the last decade. Author name disambiguation in bibliographic databases like DBLP[1], Citeseer[2], and Scopus[3] is a specialized field of entity resolution. Given many citations of underlying authors, the author name disambiguation task is to find which citations belong to the same author. In this survey, we start with three basic author name disambiguation problems, followed by a need for solutions and challenges. A generic, five-step framework is provided for handling author name disambiguation issues. These steps are preparation of dataset, selection of publication attributes, selection of similarity metrics, selection of models, and performance evaluation of clustering. Categorization and elaboration of similarity metrics and methods are also provided. Finally, future directions and recommendations are given for this dynamic area of research.
[1] http://www.informatik.uni-trier.de/~ley/db/
[2] http://citeseer.ist.psu.edu/
[3] http://www.scopus.com/home.url
Keywords Author Name Disambiguation, Bibliographic Databases, Entity Resolution, Metrics, Similarity
