• DocumentCode
    2983609
  • Title

    An Improved Schema Mapping Approach Based on Stacking

  • Author

    Miao, Jiajia ; Wang, Zhixue ; Chen, Guoyou ; Li, Aiping ; Jia, Yan

  • Author_Institution
    Inst. of Command Autom., PLA Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    4883
  • Lastpage
    4886
  • Abstract
    To address the data consistency issue of schema level, we proposed a Stacking-based Multi-Strategy Schema Matching Approach (MSMA). We are supposed to use the information of schema and other descriptions, along with the characteristics of instances, to identify the relation between different schemas. The multi-strategy approach can increase the utilization of information, thus it can improve the accuracy of mapping. MSMA designs a number of learners to grasp the information of instances, and improves the multi-strategy approach. The experimental results show that the precision of MSMA is up to 89%, and the recall of MSMA is up to 93%. As to the pattern of lack of schema information, MSMA has more precision of the original approach.
  • Keywords
    data integrity; learning (artificial intelligence); MSMA design; data consistency; information utilization; multistrategy schema matching; stacking; Bagging; Computers; IP networks; Programmable logic arrays; Schedules; Stacking; XML; multi-strategy; schema matching; stacking;
  • 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.2010.1181
  • Filename
    5630064