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文章基本信息

  • 标题:Performance Evolution of XML Data Searching by Using Fuzzy Type a head Search
  • 本地全文:下载
  • 作者:Laxman Dethe ; Prof. R. M. Goudar ; Prof. Sunita Barve
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:11
  • 出版社:S&S Publications
  • 摘要:In today’s keyword based search system over Xml data, user write a query, submit it to the system andgetting optimal results. If users has short knowledge about the data when writing queries, and has to use a try and findapproach for finding relevant information. This paper related of survey of fuzzy type-ahead search over XML data thatis a new data access paradigm in which the system search XML data on the fly a user type in query keyword foraccessing the relevant document . The XML model capture more semantic information and navigates into documentand display more accurate information. The keyword based search is different method to search in XML data, which iseasy to use, user doesn’t need to know about the XML data and query language. Our survey paper focuses ontechniques based on keyword search to retrieve top-k answers. The other way top-k algorithm is achieve high resultquality and search efficiency and interactive ranking method, The easy algorithm termination techniques for identifyingtop-k results and effective index structures.
  • 关键词:Keyword Search System; Query; Fuzzy Search; Index Structures; Type-Ahead Search; Top-k;algorithm; XML Data
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