• DocumentCode
    2818770
  • Title

    The Dynamic Web Pages Information Extraction Algorithm Based on Sequence Alignment

  • Author

    Guo, Dongwei ; Li, Dan ; Liu, Miao ; Liu, Yanbin ; Chen, Sha

  • Author_Institution
    Colledge of Comput. Sci. & Technol., Jilin Univ., Changchun, China
  • Volume
    1
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    784
  • Lastpage
    786
  • Abstract
    In this paper, ´common framework´ is defined as the information which is irrelative to the kernel contents of Web pages and common in Web pages from the same source, such as headers, tails, advertisements, orientations of browsers and flash etc. Sequence alignment is adopted in the information extraction algorithm to detect the common framework. After eliminating the common frameworks from Web pages, the data fields obtained will be more suitable for information extraction. On data-intensive Web pages from real-world Websites, the effects of the alignment parameter on extraction results and the phase of common framework detection on decreasing data quantity and increasing extraction accuracy were tested and evaluated. The experimental results proved the validity of this approach convincingly.
  • Keywords
    Internet; information retrieval; Websites; data quantity; dynamic Web pages information extraction algorithm; sequence alignment; Classification tree analysis; Computer science; Data mining; HTML; Hidden Markov models; Kernel; Network servers; Tail; Web pages; Web server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.200
  • Filename
    5193809