• DocumentCode
    3132678
  • Title

    Research on concept semantic similarity computation based on ontology

  • Author

    Yu, Wen ; Chun-ming, Gao ; Hua-Wei, Pan

  • Author_Institution
    Inf. Sci. & Eng. Inst., Hunan Univ., Changsha, China
  • Volume
    2
  • fYear
    2011
  • fDate
    20-21 Aug. 2011
  • Firstpage
    284
  • Lastpage
    287
  • Abstract
    The current concept semantic similarity calculation based on ontology does not take full advantage of the concept semantic information. In this paper we will present a new concept semantic similarity algorithm deviding the concept similarity into two parts: one is concept name similarity calculation, concept name degree and concept name edit distance calculation. The other is concept property similarity calculation, concept object property and data property calculation. Thus we obtain the actual similarity of the ontology concept according to an integrated analysis. The experimental results indicate that, compared with other similarity algorithms, this method can make full use of concept semantic information, and can obtain a better match result.
  • Keywords
    ontologies (artificial intelligence); pattern matching; vocabulary; concept name edit distance calculation; concept object property; concept semantic similarity computation; data property calculation; ontology concept; Algorithm design and analysis; Decision support systems; Information theory; Ontologies; Semantics; Statistical learning; Concept name similarity; Concept property similarity; Name edit distance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Control and Industrial Engineering (CCIE), 2011 IEEE 2nd International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9599-3
  • Type

    conf

  • DOI
    10.1109/CCIENG.2011.6008120
  • Filename
    6008120