• DocumentCode
    239120
  • Title

    Applying evolutionary computation for evolving ontologies

  • Author

    Matei, Oliviu ; Contras, Diana ; Pop, Paul

  • Author_Institution
    North Univ. Center of Baia Mare, Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    1520
  • Lastpage
    1527
  • Abstract
    In this paper, we describe a novel application of evolutionary computation, namely for evolving ontologies. The general algorithm of evolutionary ontologies follow roughly the same guidelines as any other genetic algorithms. However, we introduced a new genetic operator, called repair, which is needed in order to make the offspring viable. Experiments for the generation of user centered automatically generated scenes demonstrate the performance of the proposed approach.
  • Keywords
    genetic algorithms; mathematical operators; ontologies (artificial intelligence); evolutionary computation; evolutionary ontologies; genetic algorithms; genetic operator; repair; user centered automatically generated scenes; Evolution (biology); Evolutionary computation; Genetic algorithms; Genetics; Ontologies; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2014 IEEE Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6626-4
  • Type

    conf

  • DOI
    10.1109/CEC.2014.6900499
  • Filename
    6900499