RQ-RDF-3X: Going beyond triplestores

Jyoti Leeka, Srikanta J. Bedathur
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引用次数: 12

Abstract

Efficient storage and querying of large repositories of RDF content is important due to the widespread growth of Semantic Web and Linked Open Data initiatives. Many novel database systems that store RDF in its native form or within traditional relational storage have demonstrated their ability to scale to large volumes of RDF content. However, it is increasingly becoming obvious that the simple dyadic relationship captured through traditional triples alone is not sufficient for modelling multi-entity relationships, provenance of facts, etc. Such richer models are supported in RDF through two techniques - first, called reification which retains the triple nature of RDF and the second, a non-standard extension called N-Quads. In this paper, we explore the challenges of supporting such richer semantic data by extending the state-of-the-art RDF-3X system. We describe our implementation of RQ-RDF-3X, a reification and quad enhanced RDF-3X, which involved a significant re-engineering ranging from the set of indexes and their compression schemes to the query processing pipeline for queries over reified content. Using large RDF repositories such as YAGO2S and DBpedia, and a set of SPARQL queries that utilize reification model, we demonstrate that RQ-RDF-3X is significantly faster than RDF-3X.
RQ-RDF-3X:超越三重存储
由于语义Web和链接开放数据计划的广泛发展,对大型RDF内容存储库的高效存储和查询非常重要。许多以原生形式存储RDF或在传统关系存储中存储RDF的新型数据库系统已经证明它们能够扩展到大量RDF内容。然而,越来越明显的是,仅通过传统三元组捕获的简单二元关系不足以建模多实体关系、事实来源等。RDF通过两种技术来支持这种更丰富的模型——第一种称为具体化,它保留了RDF的三重性质;第二种称为N-Quads的非标准扩展。在本文中,我们探讨了通过扩展最先进的RDF-3X系统来支持这种更丰富的语义数据的挑战。我们描述了RQ-RDF-3X的实现,这是一个具体化和四倍增强的RDF-3X,它涉及到从索引集及其压缩方案到查询处理管道的重大重新工程。通过使用大型RDF存储库,如YAGO2S和DBpedia,以及一组利用具体化模型的SPARQL查询,我们证明了RQ-RDF-3X比RDF- 3x要快得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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