Using an inference mechanism for helping the data integration

V. Pequeno, J. Pires
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Abstract

Sharing and integrating information across multiple autonomous and heterogeneous data sources has emerged as a strategic requirement in modern business. We deal with this problem by proposing a declarative approach based on the creation of a reference model and perspective schemata. The former serves as a common semantic meta-model, while the latter defines correspondence between schemata. Furthermore, using the proposed architecture, we developed an inference mechanism which allows the (semi-) automatic derivation of new mappings between schemata from previous ones. The aim of this paper is to present the proposed inference mechanism.
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使用推理机制帮助数据集成
跨多个自治和异构数据源共享和集成信息已成为现代业务中的一种战略需求。为了解决这个问题,我们提出了一种基于参考模型和透视图模式创建的声明性方法。前者用作公共语义元模型,而后者定义模式之间的对应关系。此外,使用所提出的体系结构,我们开发了一种推理机制,该机制允许(半)自动地从以前的模式之间派生出新的映射。本文的目的是提出所提出的推理机制。
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