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Deep Web搜索技术进展综述 被引量:5

A survey of search technologies in Deep Web
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摘要 搜索技术用于帮助用户从海量网络资源中快速获取与自己当前需求相关的信息.针对传统搜索技术的局限性,对"深层网络"中的搜索技术进行了综述,并从关键技术、搜索引擎框架等方面进行了系统性的阐述. Search technology are widely used to help users rapidly gathering useful information from WWW. Against the limitati- ons of traditional search technologies, a brief survey of the recent research work of search technologies in Deep Web was provided and presentsed, a search engine framework was presented on the aspeets of key techniques.
出处 《山东大学学报(工学版)》 CAS 北大核心 2009年第2期15-20,共6页 Journal of Shandong University(Engineering Science)
基金 国家自然科学基金资助项目(60705046)
关键词 深层网络 搜索技术 信息抽取 结果集成 Deep Web search technology information extraction result integration
作者简介 赵志宏(1975-),男,河北清河人,副教授,博士,研究方向为机器学习、数据挖掘.E-mail:zhaozh@software.nju.edu.cn
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共引文献137

同被引文献35

  • 1郑冬冬,赵朋朋,崔志明.Deep Web爬虫研究与设计[J].清华大学学报(自然科学版),2005,45(S1):1896-1902. 被引量:28
  • 2黄晓冬.Invisible Web研究综述[J].情报科学,2004,22(9):1144-1148. 被引量:19
  • 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
  • 4Thanaa Ghanem M, Walid Aref G. Databases Deepen the Web[J]. IEEE Computer, 2004, 73( 1 ) :116-117.
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  • 6Fang W, Cui Z M, Zhao. Phonology-based Deep Web Sources Focused Crawling[C]//Lecture Notes in Artificial Intelligence. [S. l.] :Springer,2007:514-519.
  • 7Pantel P, Lin D. Discovering Word Senses from Text[C]//Proceeding of the 2002 ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Alberta: [s. n. ], 2002:613-619.
  • 8刘伟,孟小峰,孟卫一.Deep Web数据集成研究综述[J].计算机学报,2007,30(9):1475-1489. 被引量:136
  • 9赵朋朋,崔志明,高岭,仲华.关于中国Deep Web的规模、分布和结构[J].小型微型计算机系统,2007,28(10):1799-1802. 被引量:13
  • 10Umara Noor, Zahid Rashid, Azhar Rauf. A survey of automat- ic Deep Web classification techniques[J]. International Journalo{ Computer Applications,2011,19(6) :43-50.

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