• DocumentCode
    2482820
  • Title

    Study of Semantic-Based Ontology Mapping Technology

  • Author

    Li, Wen-Jie ; Xia, Qiu-Xiang

  • Author_Institution
    Tianjin Key Lab. of Intell. Comput. & Novel Software Technol., Tianjin Univ. of Technol., Tianjin, China
  • fYear
    2010
  • fDate
    22-23 May 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    To implement the interoperation of different ontologies in medical informatics domain and achieve the goal of the sharing and multiplexing of domain knowledge, the heterogeneous problem between ontologies must be solved. Now the best method of resolving ontology heterogeneous is establishing ontology mapping, that is founding the semantic relations between ontologies and making corresponding mapping rules firstly, and then integrating all independent ontologies into a whole to be operated. In order to produce mapping-pairs and implement ontology mapping and realizing knowledge sharing, a concept similarity algorithm combining semantic similarity with semantic relativity is adopted to estimate the similarity between concepts. It has been proved that the evaluation of concept similarity between ontologies is more accurate by considering both semantic similarity and semantic relativity, and it has laid a good foundation for establishing mapping-pairs and knowledge sharing model based on ontology mapping.
  • Keywords
    medical information systems; ontologies (artificial intelligence); concept similarity algorithm; domain knowledge multiplexing; knowledge sharing model; medical informatics domain; semantic relativity; semantic similarity; semantic-based ontology mapping technology; Biomedical informatics; Computer science education; Computer vision; Data mining; Educational technology; Knowledge management; Laboratories; Logic; Ontologies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5872-1
  • Electronic_ISBN
    978-1-4244-5874-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2010.5473484
  • Filename
    5473484