• DocumentCode
    1955394
  • Title

    Formal concept analysis based ontology merging method

  • Author

    Guan-yu, Li ; Shu-peng, Liu ; Zhao Yan

  • Author_Institution
    Dept. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
  • Volume
    8
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    279
  • Lastpage
    282
  • Abstract
    With the growing usage of ontologies, different ontologies are constructed in the same domain from different specialist´s knowledge structures, this results in ontology heterogeneity, and the interoperability of ontologies is seriously blocked by ontology heterogeneity. It is known that Ontology Merging is an effective approach to solve this problem, so a novel method FCA-OntMerge for ontology merging is proposed in this paper. Firstly, ontologies are converted to formal context (the storage format of Concept Lattice). Secondly, the strict and perfect mathematical principle of concept lattice is obeyed to merge. Finally, a new ontology is generated. In terms of general performance, the experimental verification result reveals that the proposed method works well in solving the problem of ontology heterogeneity.
  • Keywords
    formal specification; merging; ontologies (artificial intelligence); semantic Web; FCA-OntMerge; formal concept analysis; interoperability; knowledge structures; ontology heterogeneity; ontology merging method; Context; Ontologies; formal concept analysis; formal context; ontology; ontology heterogeneity; ontology merging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5564899
  • Filename
    5564899