• DocumentCode
    2169814
  • Title

    A comparative study on Measure of Semantic Relatedness function

  • Author

    Emadzadeh, Ehsan ; Nikfarjam, Azadeh ; Muthaiyah, Saravanan

  • Author_Institution
    Fac. of IT, MMU, Cyberjaya, Malaysia
  • Volume
    1
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    94
  • Lastpage
    97
  • Abstract
    The semantic analysis and context awareness in data mining can intensively increase results precision. In this research different semantic relatedness functions called ¿Measure of Semantic Relatedness (MSR)¿ are discussed and compared. We found that the quality and accuracy of MSRs are different when applied in various contexts. Here we compared several MSR algorithms using different corpuses and have analyzed the results.
  • Keywords
    data mining; semantic Web; ubiquitous computing; MSR; context awareness; data mining; measure of semantic relatedness; semantic analysis; semantic relatedness function; Algorithm design and analysis; Context awareness; Data mining; Humans; Natural languages; Performance evaluation; Search engines; Testing; Text categorization; Vocabulary; component; data mining; semantic relatedness; semantic relatedness function; text classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5585-0
  • Electronic_ISBN
    978-1-4244-5586-7
  • Type

    conf

  • DOI
    10.1109/ICCAE.2010.5451991
  • Filename
    5451991
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2169814