Jena Storage Plug-in Providing an Improved Query Processing Performance for Semantic Grid Computing Environment

Jeong-Dong Kim, Heeyoung Shin, Dongwon Jeong, D. Baik
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引用次数: 6

Abstract

This paper proposes an enhanced storage model as a plug-in of Jena for semantic grid computing. Semantic grid is built using the technologies of the semantic Web. Jena is one of the most representative frameworks for building semantic Web applications. Jena can be used for building the semantic grid and its applications. It provides a programmatic environment for RDF and OWL. Besides that, it supports a SPARQL query processing engine, and a rule-based inference engine including a storage model. Even though it supports powerful functions, there are still several issues. Especially, its storage model provides a low query processing performance. This paper proposes a storage plug-in to provide more improved query processing performance than the original Jena storage. It promises a faster query processing support in the semantic grid as well as in the semantic Web. Also, our storage is developed as a Jena plug-in, and thus it can be seamlessly connected to other modules of the Jena framework.
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为语义网格计算环境提供改进查询处理性能的Jena存储插件
本文提出了一种增强的存储模型,作为语义网格计算的Jena插件。语义网格是利用语义网技术构建的。Jena是构建语义Web应用程序的最具代表性的框架之一。Jena可用于构建语义网格及其应用程序。它为RDF和OWL提供了一个编程环境。除此之外,它还支持SPARQL查询处理引擎和包含存储模型的基于规则的推理引擎。尽管它支持强大的功能,但仍然存在一些问题。特别是它的存储模型提供了较低的查询处理性能。本文提出了一个存储插件,以提供比原来的Jena存储更改进的查询处理性能。它承诺在语义网格和语义Web中提供更快的查询处理支持。此外,我们的存储是作为Jena插件开发的,因此它可以无缝地连接到Jena框架的其他模块。
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