  This paper presents the FinMatcher system and its results for the FinSim 2021
shared task which is co-located with the Workshop on Financial Technology on
the Web (FinWeb) in conjunction with The Web Conference. The FinSim-2 shared
task consists of a set of concept labels from the financial services domain.
The goal is to find the most relevant top-level concept from a given set of
concepts. The FinMatcher system exploits three publicly available knowledge
graphs, namely WordNet, Wikidata, and WebIsALOD. The graphs are used to
generate explicit features as well as latent features which are fed into a
neural classifier to predict the closest hypernym.
