• DocumentCode
    2496359
  • Title

    Key equivalence in heterogeneous databases

  • Author

    Pu, Calton

  • Author_Institution
    Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
  • fYear
    1991
  • fDate
    7-9 Apr 1991
  • Firstpage
    314
  • Lastpage
    316
  • Abstract
    Semantic heterogeneity in heterogeneous databases (HDBs) has been recognized as a difficult problem. One of the probable causes of the little progress made in this area is the lack of well-defined subproblems that individual researchers can attack and achieve results. The author formulates the key equivalence problem in HDBs. By its nature there is no single algorithm that can solve the general key equivalence problem, but the author proposes a framework (a meta-algorithm) to approach it. He applies the framework to a concrete instance of the problem, the name matching problem and describes his experience so far
  • Keywords
    database theory; distributed databases; heterogeneous databases; key equivalence; meta-algorithm; name matching; semantic heterogeneity; Artificial intelligence; Computer science; Concrete; Databases; Humans; Instruments; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Interoperability in Multidatabase Systems, 1991. IMS '91. Proceedings., First International Workshop on
  • Conference_Location
    Kyoto
  • Print_ISBN
    0-8186-2205-9
  • Type

    conf

  • DOI
    10.1109/IMS.1991.153727
  • Filename
    153727