Effective keyword search for High Frequency LCAs over XML documents

Chaoqing Wang, Xiuxing Li, Jiping Wang, Yanlong Wen, Xiaojie Yuan
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Abstract

In this paper, we study the problem of effective keyword search over XML documents. We begin by introducing the notion of HFLCA(High Frequency Lowest Common Ancestor) to accurately and effectively answer keyword queries over XML documents by the meaningful trees rooted as HFLCA. Then, with the help of the DTD document, we propose an optimization strategy for speeding up the computation. We have conducted an extensive experimental study and the experimental result show that our proposed approach archives both high efficiency and effectiveness.
针对XML文档的高频lca的有效关键字搜索
本文主要研究XML文档中关键字的有效搜索问题。我们首先引入HFLCA(高频最低共同祖先)的概念,通过根为HFLCA的有意义树准确有效地回答对XML文档的关键字查询。然后,在DTD文档的帮助下,提出了一种加快计算速度的优化策略。我们进行了大量的实验研究,实验结果表明我们所提出的方法具有较高的效率和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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