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 increase of Web information, the current storage model has been difficult to meet the demand for efficient storage of large-scale RDF data. By analyzing and comparing existing storage patterns, this paper proposes a RDF data storage model based on relational database. According to the characteristics of RDF data, each relation in RDF data is decomposed and stored in different relational tables respectively. Experimental results show that this model improves the efficiency of RDF data storage, and has good scalability for large-scale RDF data storage.