Querying XML and Relational Data

Hassana Nassiri, M. Machkour
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引用次数: 4

Abstract

There has been a growing need for querying heterogeneous data sources, namely XML and Relational databases. Since the relational model is the most data model used to manage data for years. Similarly, the eXtensible Markup Language (XML) is quickly emerging as the de facto standard for data exchange over the Internet. Hence, bridging these two models is surely need. Furthermore, each database system uses a particular query language to manipulate data. So, users need to know each query language of each data model. To this point, we aim to define a system to retrieve data regardless of the nature of the model used and eliminates the burden of learning new languages. In such way, the existing users’ knowledge about a query language will be enough and will meet the purpose. Thus, this paper addresses the problem of accessing both XML and relational data, by using a unique query language expressed with whether SQL or XPath. We rely on a new approach in the translation process to convert the user query into the suitable query language according to the nature of the data interrogated.
查询XML和关系数据
查询异构数据源(即XML和关系数据库)的需求日益增长。由于关系模型是多年来用于管理数据的最多的数据模型。类似地,可扩展标记语言(XML)正迅速成为Internet上数据交换的事实上的标准。因此,肯定需要将这两个模型连接起来。此外,每个数据库系统都使用特定的查询语言来操作数据。因此,用户需要了解每个数据模型的每种查询语言。到目前为止,我们的目标是定义一个系统来检索数据,而不考虑所使用模型的性质,并消除学习新语言的负担。这样,现有用户对查询语言的了解就足够了,可以满足目的。因此,本文通过使用用SQL或XPath表示的唯一查询语言来解决访问XML和关系数据的问题。我们在翻译过程中采用了一种新的方法,根据查询数据的性质将用户查询转换为合适的查询语言。
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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