Autor: |
Röder, Michael, Sherif, Mohamed Ahmed, Saleem, Muhammad, Conrads, Felix, Ngomo, Axel-Cyrille Ngonga |
Rok vydání: |
2020 |
Předmět: |
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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 |
Externí odkaz: |
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