Scalable peer-to-peer-based RDF management

Christoph Böhm, Daniel Hefenbrock, Felix Naumann
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引用次数: 4

Abstract

Handling web-scale RDF data requires sophisticated data management that scales easily and integrates seamlessly into existing analysis workflows. We present Hdrs-- a scalable storage infrastructure that enables online-analysis of very large RDF data sets. Hdrs combines state-of-the-art data management techniques to organize triples in indexes that are sharded and stored in a peer-to-peer system. The store is open source and integrates well with Hadoop MapReduce or any other client application.
可伸缩的基于对等的RDF管理
处理web规模的RDF数据需要复杂的数据管理,可以轻松扩展并无缝集成到现有的分析工作流中。我们提出hdr——一种可扩展的存储基础设施,支持对非常大的RDF数据集进行在线分析。hdr结合了最先进的数据管理技术来组织索引中的三元组,这些索引被分片并存储在对等系统中。该商店是开源的,可以很好地与Hadoop MapReduce或任何其他客户端应用程序集成。
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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