SqueezeX: synthesis and compression of XML data

M. Cannataro, C. Comito, Andrea Pugliese
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引用次数: 9

Abstract

XML is emerging as the "universal" language for semi-structured data description/exchange, and new issues regarding the management of XML data, both in terms of performance and usability, are becoming critical. The application of knowledge-based synthesis and compression methods (i.e. derivation of synthetic views and lossless/lossy approximation of contents) can be extremely beneficial in this scenario. In this paper, we present SqueezeX, a system for the synthesis/compression of XML data based on a multidimensional/classification-based interpretation of their schema and on the application of semantic and type-oriented compression techniques.
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SqueezeX: XML数据的合成和压缩
XML正在成为半结构化数据描述/交换的“通用”语言,有关XML数据管理的新问题,无论是在性能方面还是在可用性方面,都变得至关重要。基于知识的合成和压缩方法的应用(即合成视图的推导和内容的无损/有损近似)在这种情况下是非常有益的。在本文中,我们介绍了SqueezeX,这是一个基于多维/基于分类的模式解释和基于语义和面向类型压缩技术的应用的XML数据综合/压缩系统。
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