语义仓储构建技术研究进展

Review on Techniques of Semantic Repository

如何对海量的RDF数据进行存储、查询、存取和推理是RDF数据管理研究领域最关心的问题之一，文章界定了语义仓储的概念及其与关系数据库管理系统的区别，根据语义存储介质和组织方式的不同对语义仓储进行了分类，结合实际的案例对基于内存、基于传统数据库和原生方式存储模式的语义仓储的优缺点、适用范围和不同存储模式之间的区别和联系进行了分析，在语义仓储的分布式存储策略上，对集中式语义仓储和自组织语义仓储这两种网络结构的组织形式和应用系统做了综述，还对语义仓储测试基准及应用系统的研究进展进行了分析，讨论存在的问题及未来可能的研究方向。

Data storage, query, access and reasoning on vast amount of RDF is one of the greatest concerns in the RDF data management research. Comparing with RDMS, this paper gives the explicit concept of Semantic Repository, and divides the Semantic Repository storage model into memory model, traditional database model and native model based on the storage media and organization, and analyzes these model with application systems separately. Distributed storage strategy of the Semantic Repository, Clustered Semantic ＇Repository and Self-Organized Semantic Repository are reviewed. It also descrips benchmarks and application systems, and points the problems and trends of this domain.