• DocumentCode
    2255945
  • Title

    Ontology mapping based on structures and instances

  • Author

    Zheng, Cheng ; Shen, Ya-Peng ; Mei, Lin

  • Author_Institution
    Key Lab. of Intell. Comput. & Signal Process., Anhui Univ., Hefei, China
  • Volume
    1
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    460
  • Lastpage
    465
  • Abstract
    Ontology mapping is to find the mapping relationship between different ontology to reuse and share ontology. In this paper we present a multi-strategy ontology mapping technique based on the structure and instance. When the similarity between the mapping pairs is approximating to the threshold, context structures are used to judge their similarity. The key of the instance mapping is calculating the instance similarity. Firstly the instance is preprocessed. Then set similarity and probability similarity based on Bayesian theory is calculated respectively. Finally instance similarity is calculated by the set similarity and probability similarity comprehensively. Experimental results show its effectiveness.
  • Keywords
    Bayes methods; ontologies (artificial intelligence); Bayesian theory; context structures; multistrategy ontology mapping technique; probability similarity; Cybernetics; Encoding; Machine learning; Ontologies; Optimization; Probability; Semantics; Ontology Mapping; Ontology instance; Ontology structure; Similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5581019
  • Filename
    5581019