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Highly efficient processing of XML path/twig queries using Index Caches

机译:使用索引缓存高效处理XML路径/树枝查询

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XML has been becoming the de facto standard for data exchange on the World Wide Web. Now, while XML data files are become more, people have developed a variety of storage methods of the XML file, such as the use of relational databases, native XML databases, and so on. Meanwhile, people have a higher demand on the technology to efficient processing of large XML data sets, now the main direction of research is XML index technology, on the one hand, the twig matching process is more important. Many researchers have done a lot of research in this area. This paper proposed an XML Index Cache designed to improve the efficiency of matching XML indexes, including the simple path matching and twig matching. This paper also presents the structure of XML Index Cache technology and related algorithms. Finally, we do the experiments in CoSQL RX 1.0 that is dual engine database system which was independently developed by the laboratory of Peking University.
机译:XML已成为万维网上数据交换的事实上的标准。现在,当XML数据文件变得越来越多时,人们已经开发了XML文件的各种存储方法,例如使用关系数据库,本机XML数据库等等。同时,人们对有效处理大型XML数据集的技术提出了更高的要求,现在研究的主要方向是XML索引技术,一方面,树枝匹配过程更为重要。许多研究人员在这方面做了很多研究。本文提出了一种XML索引缓存,旨在提高匹配XML索引的效率,包括简单路径匹配和枝条匹配。本文还介绍了XML索引缓存技术的结构和相关算法。最后,我们在CoSQL RX 1.0中进行了实验,它是由北京大学实验室独立开发的双引擎数据库系统。

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