异构信息系统:理解集成

S. Heiler, M. Siegel, S. Zdonik
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引用次数: 14

摘要

异构数据库系统的研究为开发集成工具或框架提供了基础。这些工具用于构建提供来自多个不同系统或数据源的信息的系统。用于集成异构数据库系统的商业框架多达30个,并且正在为具有多个信息源需求的组织开发许多集成系统。不幸的是,在集成框架和系统开发人员之间,对于集成的定义或如何描述框架以及它们的作用几乎没有达成一致。作者给出了集成的定义,并定义了描述、指定和比较集成框架和集成系统的参数。参数基于集成空间,其中的维度定义源、模式、数据模型、时间/上下文和依赖项中的异构性的隐藏或公开。作者在规范中使用这些维度来定义由集成框架或集成系统提供的集成级别
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heterogeneous information systems: understanding integration
Research in heterogeneous database systems has provided the basis for the development of integration tools or frameworks. These tools are used to build systems that provide information from multiple disparate systems or data sources. As many as thirty commercial frameworks exist for integrating heterogeneous database systems and numerous integrated systems are being developed for organizations with multiple information source requirements. Unfortunately, among integration framework and system developers there is little agreement on the definition of integration or on how to describe the frameworks and what they do. The authors present a definition of integration and define parameters for describing, specifying, and comparing integration frameworks and integrated systems. The parameters are based on the integration space where the dimensions define the hiding or exposing of heterogeneities in source, scheme, data model, time/context and dependencies. The authors use these dimensions in specifications to define the level of integration provided by the integration framework or integrated system.<>
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