Querying RDF and OWL data source using SPARQL

Naveen Kumar, Suresh Kumar
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引用次数: 14

Abstract

The Semantic web is the extension of WWW, “web of document” that provide a support for “web of data” it gives an easier way to find, share, reuse and combine information. The semantic web can be best known as the web of linked data that enables people to create data stores on the web, build vocabularies, and write rules for handling data. It is based on machine-readable information and builds on XML technology's capability to define customized tagging schemes and RDF's (Resource Description Framework) flexible approach to representing data. The key challenge for many semantic web application is to access RDF and OWL data source, as a solution to this challenge, SPARQL, the w3c Recommendation for an RDF query language, supports querying of multiple RDF graphs and OWL data. In this paper we propose a framework for querying RDF data and OWL data using SPARQL. We perform querying the data using “TWINKLE” and “PROTEGE” tool and we also provide an experimental result of improving query performance by optimizing the query.
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使用SPARQL查询RDF和OWL数据源
语义网是WWW(“文档网”)的扩展,它为“数据网”提供了支持,它提供了一种更简单的方法来查找、共享、重用和组合信息。语义网最为人所知的是链接数据网,它使人们能够在网络上创建数据存储、构建词汇表和编写处理数据的规则。它基于机器可读的信息,并建立在XML技术定义定制标记方案的能力和RDF(资源描述框架)表示数据的灵活方法的基础上。许多语义web应用程序面临的主要挑战是访问RDF和OWL数据源,作为解决这一挑战的方案,SPARQL (w3c推荐的RDF查询语言)支持查询多个RDF图和OWL数据。本文提出了一个使用SPARQL查询RDF数据和OWL数据的框架。我们使用“TWINKLE”和“PROTEGE”工具对数据进行了查询,并提供了通过优化查询提高查询性能的实验结果。
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