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Efficient Resource Attribute Retrieval in RDF Triple Stores

机译:RDF三重存储中的有效资源属性检索

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The W3C Resource Description Framework (RDF) is gaining popularity for its ability to manage semi-structured data without a predefined database schema. So far, most RDF query processors have concentrated on finding complex graph patterns in RDF. which typically involves a high number of joins. This works very well to query resources by the relations between them. Yet, obtaining a record-like view on the attributes of resources, as natively supported by RDBMS, imposes unnecessary performance burdens, as the individual attributes must be joined to assemble the final result records. We present an approach to retrieve the attributes of resources efficiently. We first determine the resources in question and then retrieve all their attributes efficiently at once, exploiting contiguous storage in RDF indexes. In addition, we present an index structure which is specifically designed for RDF attribute retrieval. Our measurements show that our approach is clearly superior for larger numbers of attributes.
机译:W3C资源描述框架(RDF)因其无需预先定义的数据库架构即可管理半结构化数据的能力而广受欢迎。到目前为止,大多数RDF查询处理器都致力于在RDF中查找复杂的图形模式。通常涉及大量的联接。通过资源之间的关系来查询资源非常有效。但是,获得RDBMS本地支持的关于资源属性的类似记录的视图会带来不必要的性能负担,因为必须合并各个属性才能组合最终结果记录。我们提出了一种有效检索资源属性的方法。我们首先确定相关资源,然后利用RDF索引中的连续存储一次高效地检索其所有属性。另外,我们提出了一种专门为RDF属性检索设计的索引结构。我们的测量结果表明,对于大量属性,我们的方法显然是优越的。

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