RDF管理系统的研究问题

Tanvi Chawla, Girdhari Singh, E. Pilli, Mahesh Chandra Govil
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引用次数: 11

摘要

资源描述框架(RDF)和SPARQL是我们在语义Web中听到的一些常用术语。RDF是语义Web上数据表示的事实上的标准。该标准的普遍采用可归因于它具有灵活的模型。由于语义网的广泛采用,RDF数据的数量急剧增加。传统的集中式RDF管理系统无法处理如此大量的RDF数据。因此,需要分布式RDF数据管理系统来将RDF数据分布在节点集群上。因此,可以克服集中式RDF系统在容量和高效查询方面的瓶颈。本文对不同的集中式和分布式RDF数据管理系统进行了详细的描述和比较。
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Research issues in RDF management systems
Resource Description Framework (RDF) and SPARQL are some of the common terms we hear with the Semantic Web. RDF is the de-facto standard for data representation on the Semantic Web. The universal adoption of this standard can be attributed to the fact that it has a flexible model. Due to the widespread adoption of Semantic web, a sudden steep increase in the amount of RDF data has been witnessed. This massive volume of RDF data can't be handled by the traditional Centralized RDF management systems. Thus comes into the picture the need for Distributed RDF data management systems which can distribute this RDF data on a cluster of nodes. So, the bottlenecks of the Centralized RDF systems regarding volume and efficient querying can be overcome. This paper presents a detailed description and comparison of the different Centralized and Distributed RDF data management systems.
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