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Contextual Partitioning for Comprehension of OODB Schemas

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Abstract.

Object-oriented databases (OODBs) have been utilized for complex modeling tasks within a variety of application domains. The OODB schema, typically expressed in a graphical notation, can serve as a useful presentation tool for the information contained in the underlying OODB. However, such a schema can be a large, complex network of classes and relationships. This may greatly hinder its effectiveness in helping users gain an understanding of the OODB’s contents and data organization. To facilitate this orientation process, a theoretical framework is presented that guides therefinement\/ of an existing schema’ssubclass-of\/ relationship hierarchy – the backbone of any OODB. The framework sets forth three rules which, when satisfied, lead to the establishment of a collection of contexts, each of which exhibits an internalsubclass-of\/ tree structure. A formal proof of this result is presented. An algorithmic methodology, involving a human–computer interaction, describes how the approach can be applied to a given OODB schema. An application of the methodology to an example OODB schema is included.

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Authors and Affiliations

  1. Department of Health Informatics, UMDNJ, Newark, NJ, USA

    Huanying Gu

  2. Computer Science Department, NJIT, Newark, NJ, USA

    Yehoshua Perl & James Geller

  3. Department of Mathematics and Computer Science, Kean University, Union, NJ, USA

    Michael Halper

  4. Fraunhofer IPSI, Darmstadt, Germany

    Erich J. Neuhold

Authors
  1. Huanying Gu

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  2. Yehoshua Perl

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  3. Michael Halper

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  4. James Geller

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  5. Erich J. Neuhold

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Corresponding author

Correspondence toHuanying Gu.

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