计算机科学 ›› 2012, Vol. 39 ›› Issue (Z11): 185-190.

• 软件工程 • 上一篇    下一篇

Rtop-k:基于结构松弛的XML关键字近似查询方法

李 婷,李 昕,孟祥福   

  1. (辽宁工业大学电子与信息工程学院 锦州121001);(辽宁工业大学计算中心 锦州121001);(辽宁工程技术大学电子与信息工程学院 葫芦岛125105)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Rtop-k:A Keyword Proximity Search Method Based on Structure Relaxation

  • Online:2018-11-16 Published:2018-11-16

摘要: 目前,现有的大多数关键字查询方法都是计算XML包含关键字元素的最紧致片段,这类方法大都忽略了XML文档中嵌入的结构关系,而XML结构化查询能够准确捕捉用户查询的信息,具有较高的准确率。将结构化查询方法与关键字信息检索相结合,通过分析关键字与XMI文档的结构关系判断用户查询的需求,将面向对象的思想和松弛查询的方法引入到关键字查询方法中,提出一个新的XMI、关键字近似查询框架(Rtop-k)。实验结果表明,所提近似查询方法能够较为准确地捕捉用户的查询意图,具有较高的查全率和查准率。

关键词: XML,关键字,松弛查询,对象

Abstract: Recently, most of existing algorithms for keywords search always compute the most compact fragments which contain keywords. However, many of these methods do not take the structure-relationship embedded in the XML document into consideration. For the structural query of XML documents,it always has a higher accuracy as it can capture the information searched by users accurately. In this paper, we combine the methods of structural query together with the keyword information retrieval,and infer the needs of users' query through analyzing the relationship between keywords and the structure of the XMI. document. We introduce the thinking of object-oriented and the query of relaxation into keyword query methods,and propose a new architecture of keyword proximity qucry(Rtolrk). Experimental results show that our method can capture the search-intention of users accurately with high recall and precision.

Key words: XML,Keyword, Relaxation query, Object

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