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基于查询结果的Web数据库自动分类研究 被引量:2

Automatic Classification Research of Web Databases Based on Query Results
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摘要 本文提出了基于查询结果的Web数据库自动分类方法,该方法以雅虎分类目录体系中的类目词为查询词对数据库进行查询,并根据查询结果对Web数据库进行分类.本文通过原型系统检验了该方法的分类效果. This text presents a new method based on query results, which queries Web databases using Yahoo directory items and classifies them according to the results returned by these databases. An experiment tests the classification effect of this method by a prototype system.
作者 郭少友
出处 《情报学报》 CSSCI 北大核心 2006年第4期481-487,共7页 Journal of the China Society for Scientific and Technical Information
关键词 WEB数据库 自动分类 算法 Web databases, automatic classification, algorithm
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参考文献5

  • 1Gravano L,Ipeirotis P,Sahami M.QProber:A System for Automatic Classification of Hidden-Web Databases.http://qprober.cs.columbia.edu/,2005-06-17
  • 2The Invisible Web Directory.http://www.invisible-Web.net/,2005-07-02
  • 3Jacky K.H.Shiu,Stephen C.F.Chan,Korris F.L.Chung.Accessing Hidden Web Documents by Metasearching a Directory of Specialty Search Engines.http://wotan.liu.edu/docis/dbl/dnisdn/,2005-07-02
  • 4Wenxian Wang,Weiyi Meng,Clement Yu.Concept Hierarchy Based Text Database Categorization in a Metasearch Engine Environment.http://citeseer.ist.psu.edu/wang00concept.html,2005-07-02
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同被引文献20

  • 1陈涛,宋妍,谢阳群.基于IIG和LSI组合特征提取方法的文本聚类研究[J].情报学报,2005,24(2):203-209. 被引量:14
  • 2荣毅虹,田也壮.论信息的可理解[J].情报学报,2006,25(4):393-398. 被引量:11
  • 3杨道玲.深网信息资源采集初探[J].图书馆杂志,2006,25(12):19-22. 被引量:12
  • 4Marc Bux, Tobias Muhl. Accessing the Deep Web: A Survey [EB]. [2009 - 01 - 12]. http://www, ki. informatik, hu berlin.de/wbi/teaching/archive/sose08/pr-text/vortraege/accessing - the - deep - web. pdf.
  • 5Sriram Raghavan, Hector Garcia - Molina. Crawling the Hidden Web[EB]. [2009 - 01 - 10]. http://ilpubs, stanford, edu: 8090/ 725/1/2001 - 19. pdf.
  • 6Kevin Chen - Chuan Chang. MetaQuerier: Exploring and Integrating the Deep Web[ EB ]. [ 2009 - 01 - 12 ]. http://metaquetier. cs. uiuc. edu/.
  • 7http://www.sudu.cn/info/html/sitemanage/20071227/47594. htm.
  • 8http://biz. 163. com/40302/9/DGG97S6P00020QEF, html.
  • 9Jayant Madhavan. Google's Deep Web Crawl[ EB]. [ 2009 -01 - 13 ]. http://www.cs. comell, edu/lucja/Publications/103.pdf.
  • 10王仲远.Jobtong系统进展&研究方向[EB].[2009-01-09 ]. htrp://www, wangzholkgyuan, com/wp- content/uploads/ 2007/12/jobtong- system - progress - and - research - topics. ppt.

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