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A novel XML keyword query approach using entity subtree

机译:一种使用实体子树的新颖XML关键字查询方法

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摘要

Keyword query is an important means to find object information in XML document. Most of the existing keyword query approaches adopt the subtrees rooted at the smallest lowest common ancestors of the keyword matching nodes as the basic result units. The structural relationships among XML nodes are excessively emphasized but the semantic relevance is not fully exploited.rnTo change this situation, we propose the concept of entity subtree and emphasis the semantic relevance among different nodes as querying information from XML. In our approach, keyword query cases are improved to a new keyword-based query language, Grouping and Categorization Keyword Expression (GCKE) and the core query algorithm, finding entity subtrees (FEST) is proposed to return high quality results by fully using the keyword semantic meanings exposed by GCKE. We demonstrate the effectiveness and the efficiency of our approach through extensive experiments.
机译:关键字查询是在XML文档中查找对象信息的重要手段。现有的大多数关键字查询方法都采用以关键字匹配节点的最小最小共同祖先为根的子树作为基本结果单元。为了过分强调XML节点之间的结构关系,但没有充分利用语义相关性。为了改变这种情况,我们提出了实体子树的概念,并强调了不同节点之间的语义相关性作为从XML查询信息的依据。在我们的方法中,将关键字查询案例改进为一种新的基于关键字的查询语言,分组和分类关键字表达(GCKE)和核心查询算法,提出了查找实体子树(FEST)以充分利用关键字返回高质量结果的方法GCKE公开的语义。我们通过广泛的实验证明了我们方法的有效性和效率。

著录项

  • 来源
    《Journal of systems and software》 |2010年第6期|p.990-1003|共14页
  • 作者单位

    School of Computer and Information Technology, Beijing Jiaotong University, No. 3 Shang Yuan Cun, Hai Dian District, Beijing 100044, China;

    School of Computer and Information Technology, Beijing Jiaotong University, No. 3 Shang Yuan Cun, Hai Dian District, Beijing 100044, China;

    School of Computer and Information Technology, Beijing Jiaotong University, No. 3 Shang Yuan Cun, Hai Dian District, Beijing 100044, China;

    Department of Computer, Hebei Normal University of Science and Technology, No. 360 West Hebei Street, Hai Gang District, Qinhuangdao, Hebei, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    XML; keyword query; entity subtree; semantic relevance;

    机译:XML;关键字查询;实体子树;语义相关性;

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