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Automatic Classification for the Identification of Relationships in a Meta-Data Repository

  • Gerd Beuster
  • Ulrich Furbach
  • Margret Gross-Hardt
  • Bernd Thomas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2843)

Abstract

For a large company a prototype for automatic detection of similar objects in database systems has been developed. This task has been accomplished by transferring the database object classification problem into a text classification problem and applying standard classification algorithms. Although the data provided for the task did not look promising due to the small number of positive examples, the results turned out to be very good.

Keywords

Vector Representation Object Type Data Repository Relationship Type Database Object 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Gerd Beuster
    • 1
  • Ulrich Furbach
    • 1
  • Margret Gross-Hardt
    • 1
  • Bernd Thomas
    • 1
  1. 1.Institut für InformatikUniversität Koblenz-Landau 

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