数据模型集成

Hassana Nassiri, M. Machkour
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引用次数: 0

摘要

最近,人们对数据集成和查询异构数据源非常感兴趣。因此,在我们的工作中,我们的目标是开发一个查询数据库的系统,而不考虑其模型的性质,特别是XML和关系数据模型,因为它们在实践中越来越相关,因此我们选择将它们作为本文研究的第一个模型。事实上,关系模型是大多数组织中占主导地位的数据模型,它被广泛用于管理和维护大量数据。与此同时,XML正日益成为数据交换的通用语言,并因其多重优势而受到相当大的关注。此外,这些模型中的每一个都有其特定的查询语言,确保以灵活的方式访问由这两种技术表示的信息是很重要的。因此,本文通过使用一种独特的查询语言,解决了独立于所使用的模型访问数据的问题。由于用户甚至开发人员可能不熟悉同时使用多种查询语言语法,因此我们需要通过使用任何查询语言进行单个查询来方便访问数据,从而足以从任何数据模型检索数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Model Integration
There has been significant recent interest in data integration and querying heterogeneous data sources. Thus, in our work, we aim to develop a system for querying databases regardless of the nature of their model, especially XML and relational data model as they are increasingly related in practice, Due to that we choose to make them the first models under study in this contribution. In fact, the relational model is the most dominated data model in most organizations, and it has utility widely used to manage and maintain a large volume of data. At the same time, XML is increasingly becoming the lingua franca of data interchange and has received considerable attention due to its multiple benefits. Besides, each one of these models has its specific query languages, and it will be important to ensure a flexible way to access information represented by both technologies. Thus, this paper addresses the problem of accessing data independently of the model used, by using a unique query language. Since users and even developers may not be familiar with multiple query language syntax at a time, we need to facilitate accessing data by making one single query in any query language enough to retrieve data from any data model.
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