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Volume 35 Issue 1
Jan.  2009
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Journal of Beijing University of Aeronautics and Astronautics  > 2009  >  35(1): 13-17.
Chen Peng, Liu Liehong. Key technology of deep web search[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(1): 13-17. (in Chinese)
Citation: Chen Peng, Liu Liehong. Key technology of deep web search[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(1): 13-17. (in Chinese)
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Key technology of deep web search

  • 1.

    School of Computer Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • 2. China Center of Information Industry Development, Beijing 100846, China

  • Received Date: 18 Jan 2008
  • Publish Date: 31 Jan 2009
    Abstract
  • Deep web is web database accessed by the web search, it is different from surface web, so technology of traditional search engines is not applied to deep web research very well. Some key technology of deep web search was researched, including automatic discovery of deep web resource and ontology-based information extraction of deep web. Effectiveness of these technologies and relevant algorithms were verified through experiments. Based on these technologies and relevant algorithms, a deep web search system was implemented, it could access deep web resource and extract structured data for various applications. The system has been applied to national important project "national portal of science and technology infrastructure" and has achieved obvious effect.

     

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    • References(1)
  • [1] Chang K C C,He B, Li C,et al.Structured databases on the web: observations and implications[J]. Sigmod Record, 2004,33(3):61-70 [2] Chen Peng,Li Tao,Wei Kun,et al.Research on automatic discovery of deep web[J]. Compute Science,2007,34(11A):32-35 [3] Chen Peng,Su Liliang,Wei Kun,et al.Towards automatic discovery of deep web based on machine learning[J].Journal of Computational Information Systems,2007,3(3):1033-1042 [4] Chang K C C,He B,Zhang Z. Toward large-scale integration: building a metaquerier over databases on the web[J]. CIDR 2005: 44-55 [5] Chang C H,Kayed M,Girgis M R,et al.A survey of web information extraction systems[J].IEEE Transacitons on Knowledge and Data Engineering, 2006,18(10):1411-1428
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