中文摘要：

近年来,图结构数据在信息安全、科学研究、互联网服务等各个领域被广泛采用,图数据管理系统也随之快速发展。然而,当前最主要的图数据管理系统评测基准都是面向社交网络服务和分析应用而设计和开发的。通过对知识图谱（knowledge graph）这一类快速发展的图结构数据的统计特征进行分析,并和社交网络进行比较,展示知识图谱和社交网络的显著区别,以此说明现有图数据管理系统基准评测无法满足知识图谱管理的需要,进一步展望图数据管理系统基准评测的需求和发展。

英文摘要：

Recently, graph data has been widely used in domains such as information security, scientific research, internet services, etc., that stimulates the fast development of graph data management systems. However, existing benchmarks for graph databases are all designed for applications that manage and analyze social networks. The statistical characteristics of knowledge graphs were analyzed, and compared with two social networks. It was showed that knowledge graphs, as an important and fast growing kind of graph data, were significantly different from social networks. Therefore, existing social network based benchmarks were not suitable for applications that deal with knowledge graphs. Furthermore, the requirements for a new benchmark were analyzed.