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Efficient Resource Attribute Retrieval in RDF Triple Stores

机译:RDF三重商店中的高效资源属性检索

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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)正在获得普及,以便在没有预定义的数据库模式的情况下管理半结构化数据的能力。到目前为止,大多数RDF查询处理器都集中在RDF中查找复杂的图形模式。这通常涉及大量的连接。这效果很好地通过它们之间的关系查询资源。然而,如RDBMS支持的资源属性上获取类似记录的视图,因此必须加入各个属性以组装最终结果记录,因此必须加入不必要的性能负担。我们提出了一种方法可以有效地检索资源属性。我们首先确定有问题的资源,然后一次性地检索所有属性,从而利用RDF索引中的连续存储。此外,我们提出了一个专门为RDF属性检索设计的索引结构。我们的测量结果表明,我们的方法对于较大的属性显着优越。

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