• DocumentCode
    613155
  • Title

    An ontological approach for effective knowledge engineering

  • Author

    Vigneshwari, S. ; Aramudhan, M.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Sathyabama Univ., Chennai, India
  • fYear
    2012
  • fDate
    19-21 Dec. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Ontologies are efficient way of getting a better idea about a particular domain. There are various forms of ontologies. Certain ontologies are reusable and are available online. Some other ontology can be developed for a specific purpose and are used to yield precise results in the field of knowledge engineering and automated tasks. If we want to gather information between different ontologies of different domains a cross ontology mining method has to be implemented for mining the semantic data. A framework has been discussed here for advanced ontology mining which can be very much useful to the semantic society.
  • Keywords
    data mining; ontologies (artificial intelligence); automated tasks; cross ontology method; data mining; knowledge engineering; semantic society; Cross Ontology; Distinguishing Features; Entity Classes; Preprocessing; Tokenisation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Software Engineering and Mobile Application Modelling and Development (ICSEMA 2012), International Conference on
  • Conference_Location
    Chennai
  • Electronic_ISBN
    978-1-84919-736-6
  • Type

    conf

  • DOI
    10.1049/ic.2012.0138
  • Filename
    6549302