• DocumentCode
    2118880
  • Title

    A tag recommendation algorithm based on SCOT tag ontology

  • Author

    Hui, Gang-gang ; Su, Yi-dan ; Qin, Hua ; Zhang, Xin-lun

  • Author_Institution
    School of Computer and Electronic Information, Guangxi University, Nanning, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    4896
  • Lastpage
    4899
  • Abstract
    Responding to the problem of tag ambiguity and lack of tag semantics, we propose a new recommendation algorithm based on SCOT tag ontology. The algorithm utilizes rich semantics provided by SCOT ontology to expand tag co-occurrence and eliminate tag disambiguation based on tag semantic similarity for candidate tag sets, aiming to eliminate ambiguity tags and recommend semantic related tags, thereby improving the quality of recommendation. Experimental results show that the algorithm is effective.
  • Keywords
    Business; Food industry; Indexes; Production facilities; Security; Stability criteria; SCOT; co-occurrence expanding; semantic disambiguation; tag ontology; tag recommendation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5690071
  • Filename
    5690071