• DocumentCode
    1736542
  • Title

    A novel knowledge management scheme for IRS

  • Author

    Khodaskar, A.A. ; Ladhake, S.A.

  • Author_Institution
    Comput. Sci. & Eng., SIPNA COET, Amravati, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a brief overview of knowledge exploitation in image retrieval system (IRS). We also proposed framework for knowledge based image retrieval system which integrates image mining, hybrid knowledge representation techniques and knowledge log. This system derived knowledge from image database by image mining, which is represented by using hybrid methodology of semantic net and frame. We introduce knowledge log which maintain previous query result and conclude conclusions from them for future use by using learning system associated with it. We work on small image database. Experimental result shows improved system performance which is studied with respect to parameters like precision, recall and accuracy.
  • Keywords
    data mining; image retrieval; knowledge management; knowledge representation; learning (artificial intelligence); visual databases; IRS; accuracy; hybrid knowledge representation techniques; hybrid semantic net methodology; image database; image mining; knowledge based image retrieval system; knowledge exploitation; knowledge log; knowledge management scheme; learning system; precision; recall; Biomedical imaging; Cognition; Computers; Image retrieval; Knowledge based systems; Learning systems; Semantics; Image retrieval; Knowledge log; hybrid knowledge representation techniques; image mining; knowledge log;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communication and Informatics (ICCCI), 2015 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-6804-6
  • Type

    conf

  • DOI
    10.1109/ICCCI.2015.7218094
  • Filename
    7218094