• DocumentCode
    503963
  • Title

    Study of Semantic Web-Oriented Ontology Integration Technologies

  • Author

    Li, Wenjie

  • Author_Institution
    Tianjin Key Lab. of Intell. Comput. & Novel Software Technol., Tianjin Univ. of Technol., Tianjin, China
  • Volume
    2
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    142
  • Lastpage
    145
  • Abstract
    Considering structure and elements of domain ontology, and multi-granularity technique on ontology integration, an ontology integration tool for the same field is developed in this paper. Take example for two electronic ontologies, in which the structural features of OWL (Web Ontology Language) files are analyzed, from which the main information are extracted and displayed by tree structure. Through mapping methods both elements and structure levels, the similarity degree is calculated and ontological dictionary Wordnet is adopted to get lexical semantic relations, and statistical methods is used to eliminate the discrepancy between words, in order that make integration operation on domain ontology. The result indicates that the tool not only realizes integration on elements, but also fulfills analysis on semantic of domain ontology.
  • Keywords
    knowledge representation languages; ontologies (artificial intelligence); semantic Web; statistical analysis; OWL; Web ontology language; information extraction; lexical semantic relations; mapping methods; multigranularity technique; ontological dictionary; semantic Web-oriented ontology integration technologies; statistical methods; tree structure; wordnet; Computer science education; Computer vision; Data mining; Educational technology; Information analysis; Laboratories; OWL; Ontologies; Software engineering; Terminology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2009. WCSE '09. WRI World Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3570-8
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.38
  • Filename
    5319694