• DocumentCode
    2117299
  • Title

    Mining schema matching between heterogeneous databases

  • Author

    Chen, Wei ; Guo, Huiling ; Zhang, Fang ; Pu, Xiaowei ; Liu, Xuefei

  • Author_Institution
    Dept. of Inf. Eng., Environ. Manage. Coll. of China, Qinhuangdao, China
  • fYear
    2012
  • fDate
    21-23 April 2012
  • Firstpage
    1128
  • Lastpage
    1131
  • Abstract
    Schema matching plays a key role in heterogeneous data sources integration which can find out semantic correspondences between elements of two schemas. In this paper, a schema matching algorithm named HDSM is proposed. It can discover both 1:1 and complex matches, and find mappings between opaque columns. Experiments prove that HDSM can not only discover matches between heterogeneous databases roundly, but also enhance the efficiency and precision of schema matching.
  • Keywords
    data integration; data mining; distributed databases; pattern matching; HDSM; heterogeneous data source integration; heterogeneous databases; opaque columns; schema matching algorithm; schema matching mining; Algorithm design and analysis; Clustering algorithms; Companies; Databases; Entropy; Matched filters; Mutual information; Data Integration; Heterogeneous Databases; Schema Matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4577-1414-6
  • Type

    conf

  • DOI
    10.1109/CECNet.2012.6201642
  • Filename
    6201642
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2117299