• DocumentCode
    1662542
  • Title

    A Jess knowledge-based data quality analyzing framework

  • Author

    Jia-Hong, Peng ; Xi-Lin, Yu

  • Author_Institution
    College of Information Science and Technology Hunan Agricultural University Changsha, China
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Successful data quality analyzing depends on the business rules. We present a knowledge-based framework for data quality analyzing, which carries out the representation of business knowledge by production rules and performs Analysis and cleansing operations automatically by Jess engine driver; The framework provides a systematic approach for domain knowledge representation, supports the complete life-cycle of data quality and is extensible.
  • Keywords
    Business; Cleaning; Data mining; Educational institutions; Information science; Knowledge based systems; Logic gates; Data Quality; Data Warehouse; Knowledge Base; OSG;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E -Business and E -Government (ICEE), 2011 International Conference on
  • Conference_Location
    Shanghai, China
  • Print_ISBN
    978-1-4244-8691-5
  • Type

    conf

  • DOI
    10.1109/ICEBEG.2011.5882757
  • Filename
    5882757