%0 Journal Article %1 Campbell1996 %A Campbell, L. J. %A Halpin, T. A. %A Proper, H. A. %D 1996 %J Data and Knowledge Engineering %K abstraction datamodeling er-model %N 1 %P 39-85 %T Conceptual Schemas with Abstractions %V 20 %X 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.

@article{Campbell1996, 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.}, added-at = {2010-09-05T18:14:23.000+0200}, author = {Campbell, L. J. and Halpin, T. A. and Proper, H. A.}, biburl = {https://www.bibsonomy.org/bibtex/29e345e6395dd84a12b2485d4c93a9765/voj}, interhash = {1459826576dfc86c8333fb9f2c231166}, intrahash = {9e345e6395dd84a12b2485d4c93a9765}, journal = {Data and Knowledge Engineering}, keywords = {abstraction datamodeling er-model}, number = 1, pages = {39-85}, timestamp = {2012-12-17T16:48:24.000+0100}, title = {Conceptual Schemas with Abstractions}, volume = 20, year = 1996 }