• DocumentCode
    3765380
  • Title

    An Improved Ontology-Based Web Information Extraction

  • Author

    Jing Zhang;Wei-Ze Ding

  • Author_Institution
    Modern Educ. Technol. Center, Nan-Tong Univ., Nan-Tong, China
  • fYear
    2015
  • Firstpage
    37
  • Lastpage
    41
  • Abstract
    Since most of the Web information is extracted according to content, this research introduce Webpage segmentation into the stage of Webpage pretreatment, by analyzing the ontology-based Web information extraction technology. First, get the extraction region out of the Webpage by Webpage segmentation, second process it according to ontology extraction rules, finally get the information needed. The extraction algorithm promoted by this research have higher precision and recall rate, which will lead to good prospects in practical applications.
  • Keywords
    "Data mining","Information retrieval","Ontologies","Databases","Algorithm design and analysis","Generators","HTML"
  • Publisher
    ieee
  • Conference_Titel
    Educational Innovation through Technology (EITT), 2015 International Conference of
  • Print_ISBN
    978-1-4673-8037-9
  • Type

    conf

  • DOI
    10.1109/EITT.2015.14
  • Filename
    7446143