论文标题

网络上的基准知识图

Benchmarking Knowledge Graphs on the Web

论文作者

Röder, Michael, Sherif, Mohamed Ahmed, Saleem, Muhammad, Conrads, Felix, Ngomo, Axel-Cyrille Ngonga

论文摘要

利用知识图来开发可解释的人工智能的兴趣日益兴趣,对基于图形的系统的性能进行了可比且可重复的比较越来越需要。计算机科学的历史表明,科学进步的主要驱动力,实际上,整个科学方法的核心要素是提供基准以使进度可衡量的基准。本文概述了用于评估处理知识图的系统的基准。

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.

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