• DocumentCode
    3631777
  • Title

    Web search results clusterization with background knowledge

  • Author

    Julian Szymanski

  • Author_Institution
    Department of Electronic, Telecommunication and Informatics, Gda?sk University of Technology, Poland
  • fYear
    2009
  • fDate
    5/1/2009 12:00:00 AM
  • Firstpage
    50
  • Lastpage
    53
  • Abstract
    Clusterization of Web pages is an attractive way for presenting Web resources. Arranging pages into groups of similar topics simplifies and shorten the search process. This paper concerns the problem of clustering Web pages and presents our approach to this issue. Our solution is focused on finding similarities between documents delivered by different Web search engines. This process was accomplished by applying WordNet dictionary.
  • Keywords
    "Web search","Search engines","Web pages","Frequency","Metasearch","Internet","Large scale integration","Informatics","Dictionaries","Web sites"
  • Publisher
    ieee
  • Conference_Titel
    Human System Interactions, 2009. HSI ´09. 2nd Conference on
  • ISSN
    2158-2246
  • Print_ISBN
    978-1-4244-3959-1
  • Electronic_ISBN
    2158-2254
  • Type

    conf

  • DOI
    10.1109/HSI.2009.5090952
  • Filename
    5090952
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3631777