OTS: An Optimized Method for Efficient Processing of XML Twig Patterns

Yingfei Gao
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Abstract

As a core operation to twig query processing, finding all the occurrences of a twig pattern in an XML document has attracted much attention. Although existing methods are efficient for quires with ancestor-descendant edges, our analysis shows that they all suffer from redundant CPU cost. Moreover, large amount of redundant path solutions may be produced when parent-child edges appeared below branch nodes. We propose an optimized holistic twig join algorithm, namely OTS, towards efficient processing of a twig query. By pre-checking at three steps, OTS can not only reduce the CPU cost but also eliminate redundant path solutions. As a result, it broadens the class of queries with CPU complexity linear with the sum of sizes of the input lists and the output lists. Experimental results on various datasets indicate that OTS performs significantly better than the existing ones.
OTS:有效处理XML小枝模式的优化方法
作为分支查询处理的核心操作,查找XML文档中出现的所有分支模式引起了人们的广泛关注。虽然现有的方法对于具有祖先-后代边缘的查询是有效的,但我们的分析表明,它们都存在冗余的CPU成本。此外,当分支节点下出现父-子边时,可能产生大量冗余路径解。我们提出了一种优化的整体小枝连接算法,即OTS,以有效地处理小枝查询。通过三步预检查,OTS不仅可以降低CPU成本,还可以消除冗余的路径解决方案。因此,它扩大了CPU复杂度与输入列表和输出列表大小之和成线性关系的查询类别。在各种数据集上的实验结果表明,OTS的性能明显优于现有的OTS。
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