• DocumentCode
    3449596
  • Title

    Research of knowledge reduction based on rough set and attribute union of semantic web

  • Author

    Mai Fan-jin ; Gan Guo-qing

  • Author_Institution
    Guilin Univ. Libr., Guilin Univ. of Technol., Guilin, China
  • Volume
    2
  • fYear
    2011
  • fDate
    20-22 Aug. 2011
  • Firstpage
    211
  • Lastpage
    213
  • Abstract
    The process for obtaining knowledge is easy to get a lot of redundant information. So rough set theory and attribute union are used to reduce the attribute and attribute value of semantic web together. The nuclear of attribute and attribute value are found at the same time. Finally, the minimum reduction of attribute will be got.
  • Keywords
    rough set theory; semantic Web; attribute reduction; attribute union; knowledge reduction; rough set theory; semantic Web; Approximation methods; Educational institutions; Knowledge engineering; Semantic Web; Semantics; Set theory; Uncertainty; attribute; attribute union; knowledge reduction; rough set; semantic web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-8622-9
  • Type

    conf

  • DOI
    10.1109/ITAIC.2011.6030312
  • Filename
    6030312