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Incorporating fuzzy information into the formal mapping from web data model to extended entity-relationship model

机译:将模糊信息纳入从Web数据模型到扩展实体关系模型的形式映射中

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摘要

XML (eXtensible Markup Language) has been the de-facto standard of information representation and exchange over the Web. The mapping from XML model to conceptual databases benefits XML data integration at a high level of data abstraction. Fuzziness is inherent in the many real-world applications. Fuzzy XML model has been developed for managing fuzzy data on the Web. This paper concentrates on formal mapping from the fuzzy XML model to the Extended Entity-Relationship (EER) model. For this purpose, the paper introduces different levels of fuzziness into EER model and presents the corresponding graphical representations, with the result that EER model can model fuzzy information. The formal mapping from the fuzzy XML model to the fuzzy EER model is then investigated. With the fuzzy XML and EER models, fuzzy information can be modeled at two kinds of data models. More important, the fuzzy XML model can be translated into the fuzzy EER model automatically. The formal mapping methods proposed in the paper are demonstrated with examples.
机译:XML(可扩展标记语言)已成为事实上的信息表示和通过Web交换的标准。从XML模型到概念数据库的映射有利于在高度数据抽象级别进行XML数据集成。模糊性是许多实际应用程序中固有的。已经开发了模糊XML模型来管理Web上的模糊数据。本文着重于从模糊XML模型到扩展实体关系(EER)模型的形式映射。为此,本文将不同程度的模糊性引入到EER模型中,并给出了相应的图形表示,从而使EER模型可以对模糊信息进行建模。然后研究了从模糊XML模型到模糊EER模型的形式映射。使用模糊XML和EER模型,可以在两种数据模型中对模糊信息进行建模。更重要的是,模糊XML模型可以自动转换为模糊EER模型。通过实例演示了本文提出的形式化映射方法。

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