• DocumentCode
    2983982
  • Title

    A Fuzzy-Based Broken Schema Mapping Detecting Approach

  • Author

    Miao, Jiajia ; Zhang, Dongge ; Li, Aiping ; Chen, Guoyou

  • Author_Institution
    Inst. of Command Autom., PLA Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    4871
  • Lastpage
    4874
  • Abstract
    In the dynamic distributed environment, the data sources trend to suffer changes that invalidate the mappings. We put forward a Fuzzy-based Broken Schema Mapping Detecting Approach (BSMD) to process the run time broken mapping detecting problem. The core of BSMD is a set of computationally inexpensive modules called sensors, which capture salient characteristics of data sources. There are two novel improvements: Disjunction-Weighted Average Operators are leveraged to calculate the score, which implies whether the mapping is broken; Change Weight Operators is introduced combine artificial data with real data in the training phase. The experiments over the real-world sources demonstrate the effectiveness of our fuzzy-based approach over existing solutions, as well as the utility of our improvements.
  • Keywords
    data handling; distributed processing; fuzzy set theory; broken schema mapping detecting approach; change weight operators; disjunction-weighted average operators; dynamic distributed environment; fuzzy-based detecting approach; Computers; Machine learning; Maintenance engineering; Peer to peer computing; Presses; Programmable logic arrays; Sensors; broken mapping detecting; data integration; fuzzy aggregation operators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.1178
  • Filename
    5630081