• DocumentCode
    2061252
  • Title

    Matching ontological subgraphs to concepts: A preliminary rough set approach

  • Author

    Pancerz, Krzysztof ; Grochowalski, Piotr

  • Author_Institution
    Inst. of Biomed. Inf., Univ. of Inf. Technol. & Manage., Rzeszów, Poland
  • fYear
    2010
  • fDate
    Nov. 29 2010-Dec. 1 2010
  • Firstpage
    1394
  • Lastpage
    1399
  • Abstract
    The paper is devoted to intelligent matching ontological subgraphs to concepts. The problem is considered from the point of view of rough set theory. An accuracy of approximation determines how far in a semantic space it is from a given ontological subgraph to a given concept. The approach presented in the paper can be applied to intelligent searching of a bibliographical data base for abstracts semantically close to the given concepts (keywords).
  • Keywords
    approximation theory; data mining; graph theory; ontologies (artificial intelligence); pattern matching; rough set theory; approximation; intelligent matching; intelligent searching; ontological subgraph; rough set theory; intelligent searching; matching problem; ontological graphs; rough sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-8134-7
  • Type

    conf

  • DOI
    10.1109/ISDA.2010.5687105
  • Filename
    5687105
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2061252