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Efficient processing of XPath queries using indexes

机译:使用索引有效处理XPath查询

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摘要

A number of indexing techniques have been proposed in recent times for optimizing the queries on XML and other semi-structured data models. Most of the semi-structured models use tree-like structures and query languages (XPath, XQuery, etc.) which make use of regular path expressions to optimize the query processing. In this paper, we propose two algorithms called Entry-point algorithm (EPA) and Two-point Entry algorithms that exploit different types of indices to efficiently process XPath queries. We discuss and compare two approaches namely, Root-first and Bottom-first in implementing the EPA. We present the experimental results of the algorithms using XML benchmark queries and data and compare the results with that of traditional methods of query processing with and without the use of indexes, and ToXin indexing approach. Our algorithms show improved performance results than the traditional methods and Toxin indexing approach.
机译:最近,已经提出了许多索引技术来优化对XML和其他半结构化数据模型的查询。大多数半结构化模型使用树状结构和查询语言(XPath,XQuery等),它们使用常规路径表达式来优化查询处理。在本文中,我们提出了两种称为入口点算法(EPA)和两点入口算法的算法,它们利用不同类型的索引来有效地处理XPath查询。我们讨论并比较了实施EPA的两种方法,即“根源优先”和“自底优先”。我们介绍了使用XML基准查询和数据的算法的实验结果,并将结果与​​使用或不使用索引以及ToXin索引方法的传统查询处理方法进行了比较。我们的算法显示出比传统方法和毒素索引方法更好的性能结果。

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