• DocumentCode
    1869002
  • Title

    Measuring semantic relatedness based on ontology

  • Author

    Lin Zhang ; Jie Hu ; Xiaojie Zheng

  • Author_Institution
    College of Information Engineering, Shanghai Maritime University, China
  • fYear
    2012
  • fDate
    3-5 March 2012
  • Firstpage
    1335
  • Lastpage
    1338
  • Abstract
    The need of determining the degree of semantic similarity/relatedness between two concepts within ontology is becoming an increasingly important task in the field of Information Retrieval. Semantic similarity is only a special case of semantic relatedness. Although a great attention has been paid to design semantic similarity methods based on ontology, there has been little discussion about the methods of semantic relatedness methods. In this paper, based on distance-based calculation model to calculate concepts´ similarity within ontology, we introduced an improved method for measuring semantic relatedness. In addition, our approach considers some important properties such as concepts´ depth, density, relation distance to measure semantic similarity/relatedness. The experimental studies are provided to illustrate that our approach is reasonable.
  • Keywords
    Semantic relatedness; ontology; semantic distance; semantic similarity;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
  • Conference_Location
    Xiamen
  • Electronic_ISBN
    978-1-84919-537-9
  • Type

    conf

  • DOI
    10.1049/cp.2012.1226
  • Filename
    6492833