Knowledge-Based Schema Analysis in a Multi-Database Framework

  • Jian Yang
  • Mike P. Papazoglou
  • Louis Marinos


Schema analysis is a very important issue in the integration of a corporate information system. The basic problems to be dealt with during integration come from structural and semantical diversities in schemas to be merged. Before we integrate local schemas, we must ascertain how conflicts and correspondences between types in different schemas can be identified. In this paper, we present a strategy for schema analysis based on a knowledge-based version of the object-oriented paradigm and describe a methodology for discovering structural and semantic relatedness of components within disparate information sources.


Information Source Schema Analysis Object Type Semantic Relationship Role Relationship 
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 Wien 1991

Authors and Affiliations

  • Jian Yang
    • 1
  • Mike P. Papazoglou
    • 1
  • Louis Marinos
    • 2
  1. 1.Dept of Computer ScienceAustralian National UniversityCanberraAustralia
  2. 2.Laboratory For Artificial IntelligenceErasmus University RotterdamRotterdamHolland

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