VeTo+: improved expert set expansion in academia

Serafeim Chatzopoulos, Thanasis Vergoulis, Theodore Dalamagas, Christos Tryfonopoulos
Int. J. Digit. Libr. 23(1): 57-75
Abstract. Expanding a set of known domain experts with new individuals, sharing similar expertise, is a problem that has various applications, such as adding new members to a conference program committee or finding new referees to review funding proposals. In this work, we focus on applications of the problem in the academic world and we introduce VeTo+, a novel approach to effectively deal with it by exploiting scholarly knowledge graphs. VeTo+ expands a given set of experts by identifying scholars having similar publishing habits with them. Our experiments show that VeTo+ outperforms, in terms of accuracy, previous approaches to recommend expansions to a set of given academic experts.