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基于答案结点的XML文档模糊检索
引用本文:江腾蛟,万常选,刘喜平.基于答案结点的XML文档模糊检索[J].郑州大学学报(理学版),2007,39(4):98-101.
作者姓名:江腾蛟  万常选  刘喜平
作者单位:江西财经大学信息管理学院数据与知识工程江西省高校重点实验室,南昌,330013
摘    要:针对普通用户发出的面向XML文档的自然语言模糊查询,分析了模糊内容和结构检索(VCAS)的影响因素,充分利用预设答案结点的逻辑意义完整性,结合模糊抽取的查询表达式给出了如何找到模糊内容检索的最佳查找粒度.在此基础上,设计了VCAS检索的结果相关性排序模型,最后通过实验从不同角度对模型进行了验证.

关 键 词:XML检索  答案结点  模糊内容和结构  排序
文章编号:1671-6841(2007)04-0098-04
收稿时间:2007-04-28
修稿时间:2007年4月28日

Vague Retrieval Ranking Model Based on Answer Node for XML Documents
JIANG Teng-jiao,WAN Chang-xuan,LIU Xi-ping.Vague Retrieval Ranking Model Based on Answer Node for XML Documents[J].Journal of Zhengzhou University:Natural Science Edition,2007,39(4):98-101.
Authors:JIANG Teng-jiao  WAN Chang-xuan  LIU Xi-ping
Abstract:The properties of vague retrieval are studied over XML documents issued by general users in natural language.Then,utilized logical integrity of answer node,the factors of XML vague retrieval are analyzed about relaxation on structure and content,and the way is proposed about how to find the best query granularity from the query expression extracted from natural language vague query and search paths in XML tree.Furthermore,a ranking model is designed to handle these new features;finally the confirmation is carried on through the experiment to the model.
Keywords:XML retrieval  answer node  vague content and structure  result ranking
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