• DocumentCode
    599395
  • Title

    Assessment of ontology alignment methodology

  • Author

    Rabah Azzam, Said ; Shikun Zhou

  • Author_Institution
    Sch. of Eng., Univ. of Portsmouth, Portsmouth, UK
  • fYear
    2012
  • fDate
    10-12 Dec. 2012
  • Firstpage
    759
  • Lastpage
    764
  • Abstract
    Context based searches is always the area which admires by different researchers. Ontology hence, is the way to develop such a semantic web. However, alignment is the way to properly align Ontologies to actually develop the semantic environment. Thus interoperability between different classes can be maintained in order to optimize the context based searches. There exist different methods to map the given Ontologies to make their classes or attributes unique. However, every of them have some drawbacks. We will critically analyze different published methods according to their common attributes.
  • Keywords
    ontologies (artificial intelligence); open systems; semantic Web; context based search; interoperability; ontology alignment methodology assessment; ontology attribute; ontology class; semantic Web; Cognition; Educational institutions; Humans; OWL; Ontologies; Pragmatics; Probabilistic logic; Alignment; Chimaera; GLUE; H-CONE; ONION; Ontology Mapping; Ontology Matching; Ontology Ontology Alignmentl; Prompt; S-Match;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology And Secured Transactions, 2012 International Conference for
  • Conference_Location
    London
  • Print_ISBN
    978-1-4673-5325-0
  • Type

    conf

  • Filename
    6470920