• DocumentCode
    3458890
  • Title

    Extracting specific categories of text documents using ontology

  • Author

    Hajiabadi, Hamideh ; Hajiabadi, Moin ; Tabaraie, Amir H.

  • Author_Institution
    Birjand Univ. of Technol., Birjand, Iran
  • fYear
    2011
  • fDate
    4-7 Dec. 2011
  • Firstpage
    489
  • Lastpage
    491
  • Abstract
    Extracting category of web application is important in sharing and organizing information and also is valuable in some search engines. There are numerous resources available on the web that are needed to be categorized efficiently for more practices. But the number of tools which automatically extract the categories of web applications are limited. This paper proposes a novel technique to automatically extract categories of web applications using ontology, then a case study is developed and the results are explained.
  • Keywords
    information retrieval; ontologies (artificial intelligence); text analysis; Web application category extraction; information organization; information sharing; ontology; search engines; text document category extraction; Data mining; Electronic publishing; Encyclopedias; Internet; Ontologies; Search engines; key phrase; key phrase extraction; ontology; text document;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Applications and Industrial Electronics (ICCAIE), 2011 IEEE International Conference on
  • Conference_Location
    Penang
  • Print_ISBN
    978-1-4577-2058-1
  • Type

    conf

  • DOI
    10.1109/ICCAIE.2011.6162184
  • Filename
    6162184