  The growing interest in making use of Knowledge Graphs for developing
explainable artificial intelligence, there is an increasing need for a
comparable and repeatable comparison of the performance of Knowledge
Graph-based systems. History in computer science has shown that a main driver
to scientific advances, and in fact a core element of the scientific method as
a whole, is the provision of benchmarks to make progress measurable. This paper
gives an overview of benchmarks used to evaluate systems that process Knowledge
Graphs.
