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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
Department of Health Informatics, UMDNJ, Newark, NJ, USA
Huanying Gu
Computer Science Department, NJIT, Newark, NJ, USA
Yehoshua Perl & James Geller
Department of Mathematics and Computer Science, Kean University, Union, NJ, USA
Michael Halper
Fraunhofer IPSI, Darmstadt, Germany
Erich J. Neuhold
- Huanying Gu
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- Yehoshua Perl
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- Michael Halper
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- James Geller
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- Erich J. Neuhold
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Correspondence toHuanying Gu.
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Gu, H., Perl, Y., Michael Halperet al. Contextual Partitioning for Comprehension of OODB Schemas.Know. Inf. Sys.6, 315–344 (2004). https://doi.org/10.1007/s10115-003-0102-0
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