• DocumentCode
    499051
  • Title

    Concept similarity computation based on ontology

  • Author

    Zheng, Cheng ; Hu, Zhe ; Shen, Ya-ping

  • Author_Institution
    Key Lab. of Intell. Comput. & Signal Process., Anhui Univ., Hefei, China
  • Volume
    1
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    165
  • Lastpage
    169
  • Abstract
    Finding a good similarity algorithm for the use on ontology is important to some techniques such as semantic retrieval, data mining, ontology translations etc. Similarity computation has special characters when applied in different domains. However after we learned most of the similarity measures based on ontology, we found that most researchers did not deal with these characters. In this paper we work at the similarity computation based on ontology applied in semantic retrieval. We analyze the characters about this application and problems to be improved, and then we propose an improved semantic similarity computation model. At last, we demonstrate the improvement of this model through experiments.
  • Keywords
    information retrieval; ontologies (artificial intelligence); semantic Web; concept similarity computation; ontology; semantic retrieval; semantic similarity computation model; Computer science; Computer science education; Cybernetics; Electronic mail; Information retrieval; Laboratories; Learning systems; Machine learning; Ontologies; Signal processing algorithms; Concept similarity; Ontology; Semantic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212529
  • Filename
    5212529