摘要
随着Web信息呈指数级增加,目前存储模式已难以适应大规模RDF数据高效存储的需求。本文通过分析比较现有的存储模式,提出一种基于关系数据库的RDF数据存储模式,根据RDF数据特点,将RDF数据中的各个关系分解,分别存储在不同的关系表中。实验结果表明,该模式提高了RDF数据存储效率,而且具有良好的可扩展性,适用于大规模RDF数据的存储。
With the exponential increasing aecumulation of data on the Web, it has been very difficult for the existing storage schemas to satisfy the demand of storing large - scale RDF data efficiently. By analyzing and comparing existing storage schemas, the paper proposes a storage schema of RDF data based on relational database. According to the characteristics of RDF data, relations of RDF data are decomposed and stored in different relation tables respectively. The experimental results show that the storage schema in this paper is fit for large - scale RDF data because of its high efficiency and good scalability.
出处
《情报科学》
CSSCI
北大核心
2007年第8期1218-1222,1243,共6页
Information Science
基金
总装备部武器装备部预研基金项目(51406020105JB8103)
关键词
RDF数据
存储模式
关系数据库
resource description framework data
storage schema
relational database
