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首页> 外文期刊>Tamkang Journal of Science and Engineering >An Object-Oriented Approach for Storing and Retrieving RDF/RDFS Documents
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An Object-Oriented Approach for Storing and Retrieving RDF/RDFS Documents

机译:面向对象的RDF / RDFS文档存储和检索方法

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摘要

The Resource Description Framework (RDF) is a foundation for processing metadata, which provides interoperability between applications that exchange machine-understandable information on the World Wide Web (WWW). Because RDF users can use any possible syntax to encode data described in RDF, plus XML possesses the highly flexible hierarchical structure and the machine-independent characteristic, XML has become the most popular way to store and transport RDF documents. Efficient storage and retrieval of XML documents (or, precisely, RDF/XML documents) in persistent data stores has become an important issue in computer technology today. In this paper, therefore, we propose an object-oriented data model, called the RDF Data Store Model (RDSM), for the storage of data extracted from RDF documents, as well as an RDF document decomposition algorithm for the extraction of data from RDF documents. In addition, we propose a generic RDF API that supports fundamental RDF data accessing and querying operations, and utilize the emerging W3C's SPARQL as the high-level query language for the retrieval of RDF data. Finally, an experimental system is implemented to demonstrate the performance of the proposed approach.
机译:资源描述框架(RDF)是处理元数据的基础,该元数据提供了在万维网(WWW)上交换机器可理解的信息的应用程序之间的互操作性。由于RDF用户可以使用任何可能的语法对RDF中描述的数据进行编码,而且XML具有高度灵活的层次结构和与机器无关的特性,因此XML已成为存储和传输RDF文档的最流行的方式。在持久性数据存储中有效地存储和检索XML文档(或者准确地说是RDF / XML文档)已经成为当今计算机技术中的重要问题。因此,在本文中,我们提出了一种面向对象的数据模型,称为RDF数据存储模型(RDSM),用于存储从RDF文档中提取的数据,以及一种用于从RDF中提取数据的RDF文档分解算法。文件。此外,我们提出了一种通用的RDF API,该API支持基本的RDF数据访问和查询操作,并利用新兴的W3C的SPARQL作为用于检索RDF数据的高级查询语言。最后,一个实验系统被实施以证明所提出的方法的性能。

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