• DocumentCode
    2167691
  • Title

    Information retrieval model: A social network extraction perspective

  • Author

    Nasution, M.K.M. ; Noah, S.A.

  • Author_Institution
    Knowledge Technol. Res. Group, Univ. Kebangsaan Malaysia, Bangi, Malaysia
  • fYear
    2012
  • fDate
    13-15 March 2012
  • Firstpage
    322
  • Lastpage
    326
  • Abstract
    Future Information Retrieval, especially in connection with the internet, will incorporate the content descriptions that are generated with social network extraction technologies and preferably incorporate the probability theory for assigning the semantic. Although there is an increasing interest about social network extraction, but a little of them has a significant impact to information retrieval. Therefore this paper proposes a model of information retrieval from the social network extraction.
  • Keywords
    Internet; information retrieval; probability; social networking (online); Internet; content descriptions; information retrieval model; probability theory; semantic assignment; social network extraction; Data mining; Imaging; Semantics; Social network services; Uncertainty; Web pages; Jaccard coefficient; doubleton event; imaging; logic; probability; singleton event; space of event; space of relation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Retrieval & Knowledge Management (CAMP), 2012 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-1091-8
  • Type

    conf

  • DOI
    10.1109/InfRKM.2012.6204999
  • Filename
    6204999