• DocumentCode
    2725980
  • Title

    Study of Concept Similarity Algorithm between Steel Ontologies

  • Author

    Yu Hu ; Wenjie Li ; Si Liu

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
  • fYear
    2012
  • fDate
    6-8 Nov. 2012
  • Firstpage
    19
  • Lastpage
    22
  • Abstract
    Concepts similarity calculation is the basis for ontology mapping. Vocabulary, meaning of the word, property and instance of concepts are the important facts when calculating concepts similarity. All the facts above are combined and a composite method is proposed to calculate concepts similarity in this paper. In order to keep the effectiveness and comprehensiveness of the method, we combine concepts vocabularies matching algorithm, synonyms basing on Word Net matching algorithm, concepts properties and instances similarities. By calculating test data, the experiment result shows that the method can calculate concepts similarity effectively between two steel ontologies.
  • Keywords
    ontologies (artificial intelligence); vocabulary; word processing; WordNet matching algorithm; composite method; concept similarity algorithm; concept similarity calculation; concept vocabulary matching algorithm; instances similarities; ontology mapping; steel ontologies; synonyms; Educational institutions; Ontologies; Semantic Web; Semantics; Steel; Vocabulary; concept similarity; ontology; semantic distance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (WCSE), 2012 Third World Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4673-4546-0
  • Type

    conf

  • DOI
    10.1109/WCSE.2012.12
  • Filename
    6394917