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Hash-Search: An Efficient SLCA-Based Keyword Search Algorithm on XML Documents

机译:哈希搜索:基于XML文档的基于SLCA的高效关键字搜索算法

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摘要

XML is a de-facto standard for exchanging and presenting information and keyword search over XML documents has become an interesting topic. However semi-structured XML data give rise to many challenges of conventional information retrieval technologies. In order to return highly-related data nodes and improve the quality of keyword search result, SLGA(Smallest Lowest Common Ancestor )-based keyword search on XML data is recently attracting more and more attention in the database community. In this paper, we design efficient index and propose hash-based method to answer SLCA-based keyword search queries. Our approach outperforms Incremental Multiway-SLCA approach, which is the most efficient algorithms in the literature. We demonstrate the effectiveness of our algorithms analytically and experimentally.
机译:XML是交换和呈现信息的事实上的标准,而在XML文档上进行关键字搜索已成为一个有趣的话题。但是,半结构化XML数据给常规信息检索技术带来了许多挑战。为了返回高度相关的数据节点并提高关键字搜索结果的质量,基于SLGA(最小最低公共祖先)的XML数据关键字搜索最近在数据库社区中越来越受到关注。在本文中,我们设计了有效的索引并提出了基于散列的方法来回答基于SLCA的关键字搜索查询。我们的方法优于增量多路SLCA方法,后者是文献中最有效的算法。我们通过分析和实验证明了我们算法的有效性。

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  • 来源
  • 会议地点 Brisbane(AU);Brisbane(AU)
  • 作者单位

    School of Computer Science and Technology, Fudan University, China;

    School of Computer Science and Technology, Fudan University, China Shanghai Key Laboratory of Trustworthy Computing, Software Engineering institute of East China Normal University;

    Shanghai Key Laboratory of Trustworthy Computing, Software Engineering institute of East China Normal University;

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  • 正文语种 eng
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