• DocumentCode
    1929280
  • Title

    Research on Ontology-Based Measuring Semantic Similarity

  • Author

    Guisheng, Yin ; Qiuyan, Sheng

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin
  • fYear
    2008
  • fDate
    28-29 Jan. 2008
  • Firstpage
    250
  • Lastpage
    253
  • Abstract
    Ontology is an explicit specification of a conceptualization on semantic and knowledge. This paper presents a formal definition on ontology and gives an example. Then, a method to measuring semantic similarity is presented. Semantic similarity is divided into concept similarity and description similarity. A calculation of semantic similarity between concepts in ontology is presented by the hierarchy of ontology concepts. To make the calculation of semantic similarity between concepts more similar to human´s subjective judgment, semantic similarity is divided into concept similarity and description similarity; the final semantic similarity is produced by merging concept similarity and description similarity. Finally, the optimized parameter settings are gained through the experiment results.
  • Keywords
    ontologies (artificial intelligence); semantic Web; concept similarity; description similarity; explicit specification; ontology-based measuring semantic similarity; semantic similarity; Computer science; Educational institutions; Information processing; Internet; Knowledge engineering; Libraries; Merging; Ontologies; Search methods; Semantic Web; concept similarity; description similarity; semantic similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Computing in Science and Engineering, 2008. ICICSE '08. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-0-7695-3112-0
  • Electronic_ISBN
    978-0-7695-3112-0
  • Type

    conf

  • DOI
    10.1109/ICICSE.2008.42
  • Filename
    4548267