Matching twigs in fuzzy XML

Matching twigs in fuzzy XML
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匹配模糊 XML 中的树枝

DOI:
10.1016/j.ins.2010.09.001
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发表时间:
2011
影响因子:
8.1
通讯作者:
Yan, Li
Yan, Li
中科院分区:
计算机科学1区
文献类型:
--
作者:
Liu, Jian;Ma, Z. M.;Yan, Li

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已经提出了大量的小枝模式匹配算法来整体处理小枝查询。这些算法主要针对基于AND逻辑的小枝模式查询。然而,通常需要使用OR谓词来处理小枝查询。此外,现有的算法在支持模糊XML中的或逻辑小枝查询的能力上存在不足。为了克服这一局限性,本文首先提出了一种新的编码方案来表示模糊XML中的节点信息。在此编码方案的基础上,提出了一种将小枝模式查询与模糊XML中的与/或逻辑进行匹配的有效算法。该方法采用紧凑堆栈技术来处理由AND逻辑和OR逻辑组成的复杂小枝查询。更重要的是,我们的方法消除了重新扫描不必要的XML文档部分和冗余的中间结果。最后,实验结果证明了该方法的性能优势。
A considerable amount of twig pattern matching algorithms have been proposed to holistically process a twig query. Those algorithms mainly focus on twig pattern query with the AND-logic. However, there is often a need to process a twig query with the OR-predicates. Furthermore, the existing algorithms fall short in their ability to support twig query with OR-logic in fuzzy XML. To overcome this limitation, in this paper, we first introduce a novel encoding scheme to represent node information in fuzzy XML. Based on the encoding scheme, we then propose an effective algorithm for matching a twig pattern query with the AND/OR-logic in fuzzy XML. Our approach adopts a compact stack technique to process the complicated twig query consisting of both AND-logic and OR-logic. More importantly, our method eliminates re-scanning unnecessary portions of XML documents and redundant intermediate results. Finally, the experimental results demonstrate the performance advantages of our approach.
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