• DocumentCode
    2550166
  • Title

    Intelligent crawling based on rough set for web resource discovery

  • Author

    Hu, LingXia

  • Author_Institution
    Inf. Eng., Zhong Shan Torch Polytech. Coll., Zhong Shan, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    624
  • Lastpage
    627
  • Abstract
    The rapid development of the Internet brings a new problem, which is how to rapidly and effectively retrieve needed web resource from vast number of web pages. The progress of machine learning techniques shows a new direction of solving this problem. In this paper, intelligent crawling algorithm based on rough set is proposed. The algorithm use the hypertext features behavior in order to perform topic specific resource discovery. Our experiment in this regard has provided better Harvest rate and better Target recall for focused crawling.
  • Keywords
    Internet; hypermedia; information retrieval; learning (artificial intelligence); rough set theory; Web resource discovery; hypertext features behavior; intelligent crawling algorithm; machine learning; rough set; Crawlers; Educational institutions; Information retrieval; Internet; Machine learning algorithms; Search engines; Software libraries; Taxonomy; Uniform resource locators; Web pages; Classification; Intelligent Crawling; Web Resource Discovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5477905
  • Filename
    5477905