• DocumentCode
    1938127
  • Title

    A Lattice Metric for Evaluating Ontology Hierarchies

  • Author

    Hu, He ; Du, Xiao-yong

  • Author_Institution
    Renmin Univ. of China, Beijing
  • Volume
    7
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    3880
  • Lastpage
    3883
  • Abstract
    Similarity metrics are used for ontology matchmaking, clustering, comparisons and evolutions evaluation in Semantic Web enabled applications. In this paper, we put forward a novel lattice based ontology similarity metric and its corresponding assessment algorithm for comparing different ontology hierarchies. The proposed lattice-based metric has unique advantages as it provides a unified method which takes into account not only concept nodes but also the hierarchy relationships between concepts in the ontology; it has been validated by experiment on spatiotemporal ontologies and some other domain ontologies, which shows the potential applicability of the proposed method.
  • Keywords
    ontologies (artificial intelligence); semantic Web; domain ontologies; lattice metric; ontology hierarchies; semantic Web; similarity metrics; spatiotemporal ontologies; Application software; Clustering algorithms; Cybernetics; Documentation; Helium; Laboratories; Lattices; Machine learning; Ontologies; Semantic Web; Ontology engineering; Ontology evolution; Similarity measure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370823
  • Filename
    4370823