Benchmarking Knowledge Graphs on the Web

Autor: Röder, Michael, Sherif, Mohamed Ahmed, Saleem, Muhammad, Conrads, Felix, Ngomo, Axel-Cyrille Ngonga
Rok vydání: 2020
Předmět:
Druh dokumentu: Working Paper
Popis: 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.
Databáze: arXiv