数据集成中的抽象

Gianluca Cima, Marco Console, M. Lenzerini, Antonella Poggi
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引用次数: 7

摘要

数据集成提供了一组现有数据源的统一抽象视图。数据集成系统的典型体系结构包括全局模式(它是统一视图的结构)、源模式和映射(它是源数据如何与全局视图关联的正式说明)。在过去的几十年里,数据集成的大部分研究工作都是通过对数据源计算一个合适的查询来处理在全局模式上表达的查询,然后对后者进行评估,从而得到原始查询的答案。在这里,我们解决了数据集成中的一个新问题:从对源表示的查询开始,目标是找到这种查询的抽象,即对捕获原始查询的全局模式的查询,对映射取模。本文的目的是概述数据集成中的抽象概念,通过提出一个正式的框架,说明最近文献中出现的结果,并讨论未来研究的有趣方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Abstraction in Data Integration
Data integration provides a unified and abstract view over a set of existing data sources. The typical architecture of a data integration system comprises the global schema, which is the structure for the unified view, the source schema, and the mapping, which is a formal account of how data at the sources relate to the global view. Most of the research work on data integration in the last decades deals with the problem of processing a query expressed on the global schema by computing a suitable query over the sources, and then evaluating the latter in order to derive the answers to the original query. Here, we address a novel issue in data integration: starting from a query expressed over the sources, the goal is to find an abstraction of such query, i.e., a query over the global schema that captures the original query, modulo the mapping. The goal of the paper is to provide an overview of the notion of abstraction in data integration, by presenting a formal framework, illustrating the results that have appeared in the recent literature, and discussing interesting directions for future research.
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