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Processing XML Keyword Search by Constructing Effective Structured Queries

机译:通过构造有效的结构化查询来处理XML关键字搜索

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摘要

Recently, keyword search has attracted a great deal of attention in XML database. It is hard to directly improve the relevancy of XML keyword search because lots of key word-matched nodes may not contribute to the results. To address this challenge, in this paper we design an adaptive XML keyword search approach, called Xbridge, that can derive the semantics of a keyword query and generate a set of effective structured queries by analyzing the given keyword query and the schemas of XML data sources. To efficiently answer keyword query, we only need to evaluate the generated structured queries over the XML data sources with any existing Xquery search engine, f n addition, we extend our approach to process top-k keyword search based on the execution plan to be proposed. The quality of the returned answers can be measured using the context of the keyword-matched nodes and the contents of the nodes together. The effectiveness and efficiency of Xbridge is demonstrated with an experimental performance study on real XML data.
机译:近年来,关键字搜索在XML数据库中引起了极大的关注。很难直接提高XML关键字搜索的相关性,因为许多关键字匹配的节点可能对结果没有帮助。为了解决这一挑战,在本文中,我们设计了一种名为Xbridge的自适应XML关键字搜索方法,该方法可以通过分析给定的关键字查询和XML数据源的模式来得出关键字查询的语义并生成一组有效的结构化查询。 。为了有效地回答关键字查询,我们只需要使用任何现有的Xquery搜索引擎对XML数据源上生成的结构化查询进行评估,此外,我们将根据拟议的执行计划扩展用于处理前k个关键字搜索的方法。可以使用关键字匹配节点的上下文和节点内容一起来测量返回答案的质量。通过对真实XML数据的实验性能研究证明了Xbridge的有效性和效率。

著录项

  • 来源
  • 会议地点 Suzhou(CN)
  • 作者单位

    Swinburne University of Technology Melbourne, Australia;

    Swinburne University of Technology Melbourne, Australia;

    Swinburne University of Technology Melbourne, Australia;

    Swinburne University of Technology Melbourne, Australia;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算机网络;
  • 关键词

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