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    • 5. 发明申请
    • SCALABLE DISTRIBUTED PROCESSING OF RDF DATA
    • 可扩展分布式处理RDF数据
    • US20140108414A1
    • 2014-04-17
    • US13651235
    • 2012-10-12
    • ARCHITECTURE TECHNOLOGY CORPORATION
    • Matthew A. StillermanRobert A. Joyce
    • G06F17/30
    • G06F17/30G06F17/30312G06F17/3048
    • In general, techniques are described for an RDF (Resource Description Framework) database system which can scale to huge size for realistic data sets of practical interest. In some examples, a database system includes a Resource Description Framework (RDF) database that stores a plurality of data chunks to one or more storage drives, wherein each of the plurality of data chunks includes a plurality of triples of the RDF database. The database system also includes a working memory, a query interface that receives a query for the RDF database, a SPARQL engine that identifies a subset of the data chunks relevant to the query, and an index interface that includes one or more bulk loaders that load the subset of the data chunks to the working memory. The SPARQL engine executes the query only against triples included within the loaded subset of the data chunks to obtain a query result.
    • 一般来说,描述了RDF(资源描述框架)数据库系统的技术,该数据库系统可以扩展到具有实际意义的实际数据集的巨大尺寸。 在一些示例中,数据库系统包括资源描述框架(RDF)数据库,其将多个数据块存储到一个或多个存储驱动器,其中多个数据块中的每一个包括RDF数据库的多个三元组。 数据库系统还包括工作存储器,接收RDF数据库的查询的查询接口,标识与该查询相关的数据块的子集的SPARQL引擎,以及包括一个或多个加载器的批量加载器的索引接口 数据块的子集到工作记忆。 SPARQL引擎只针对包含在加载的数据块子集中的三元组执行查询,以获得查询结果。