Author name disambiguation

An editor may apply the process to scholarly documents where the goal is to find all mentions of the same author and cluster them together.

[8][10] Recently, several pieces of research[10][11] aim to learn low-dimensional document representations by employing network embedding methods.

[15] Name disambiguation is also a cornerstone in author-centric academic search and mining systems, such as AMiner (formerly ArnetMiner).

[16] Author name disambiguation is only one record linkage problem in the scholarly data domain.

Closely related, and potentially mutually beneficial problems include: organisation (affiliation) disambiguation,[17] as well as conference or publication venue disambiguation, since data publishers often use different names or aliases for these entities.