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Data & Knowledge Engineering
Volume 20, Issue 1, 30 June 1996, Pages 39-85
 
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doi:10.1016/0169-023X(96)00005-5    How to Cite or Link Using DOI (Opens New Window)
Copyright © 1996 Published by Elsevier Science B.V.

Paper

Conceptual schemas with abstractions making flat conceptual schemas more comprehensible

L. J. Campbella, Corresponding Author Contact Information, E-mail The Corresponding Author, T. A. Halpinb and H. A. Properc

a Department of Computer Science, University of Queensland 4072, Australia b Asymetrix Corporation, Bellevue WA, USA c Cooperative Information Systems Research Centre, Faculty of Information Technology, Queensland University of Technology, GPO Box 2434, Brisbane, 4001, Australia

Received 30 August 1995; 
revised 7 November 1995; 
accepted 5 January 1996. ;
Available online 9 February 1999.

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Abstract

Flat graphical, conceptual modeling techniques are widely accepted as visually effective ways in which to specify and communicate the conceptual data requirements of an information system. Conceptual schema diagrams provide modelers with a picture of the salient structures underlying the modeled universe of discourse, in a form that can readily be understood by and communicated to users, programmers and managers. When complexity and size of applications increase, however, the success of these techniques in terms of comprehensibility and communicability deteriorates rapidly.

This paper proposes a method to offset this deterioration, by adding abstraction layers to flat conceptual schemas. We present an algorithm to recursively derive higher levels of abstraction from a given (flat) conceptual schema. The driving force of this algorithm is a hierarchy of conceptual importance among the elements of the universe of discourse.

Author Keywords: Conceptual data modelling; Schema abstraction; ORM; ER; NIAM

Article Outline

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