Modeling of an Object-Oriented Data Mart for Knowledge Discovery in Multimedia Metadata

نویسندگان

  • Joaquim Cezar Felipe
  • Marina Teresa Pires Vieira
چکیده

This paper describes the modeling of a data mart designed for use as a data repository in the “knowledge discovery in data bases” (KDD) process applied to a multimedia metadata environment whose data structure is based on the MHEG-5 standard. The data mart design uses the features of the original repository which are meaningful for the KDD process. The typical data warehouse structure was adapted to the object-oriented multimedia environment, and a structure that is both homogeneous – capable of integrating information from different sources – and objective – providing specific content and functionality for analysis – was generated to support the data preparation process before the data mining operation.

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تاریخ انتشار 2000