Optimized index structures for querying RDF from the Web

A. Harth, S. Decker
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引用次数: 324

Abstract

Storing and querying resource description framework (RDF) data is one of the basic tasks within any semantic Web application. A number of storage systems provide assistance for this task. However, current RDF database systems do not use optimized indexes, which results in a poor performance behavior for querying RDF. In this paper we describe optimized index structures for RDF, show how to process and evaluate queries based on the index structure, describe a lightweight adaptable implementation in Java, and provide a performance comparison with existing RDF databases.
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优化了从Web查询RDF的索引结构
存储和查询资源描述框架(RDF)数据是任何语义Web应用程序中的基本任务之一。许多存储系统为这项任务提供了帮助。但是,当前的RDF数据库系统没有使用优化的索引,这导致查询RDF的性能很差。在本文中,我们描述了针对RDF的优化索引结构,展示了如何处理和评估基于索引结构的查询,描述了Java中的轻量级可适应实现,并提供了与现有RDF数据库的性能比较。
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