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@inproceedings{DBLP:conf/vldb/Kent82,
author = {William Kent},
title = {Choices in Practical Data Design},
booktitle = {Eigth International Conference on Very Large Data Bases, September
8-10, 1982, Mexico City, Mexico, Proceedings},
publisher = {Morgan Kaufmann},
year = {1982},
isbn = {0-934613-14-1},
pages = {165-180},
ee = {db/conf/vldb/Kent82.html},
crossref = {DBLP:conf/vldb/82},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Current data design methodologies tend to generate a single design for an application, neglecting many other possible designs. This is partly because user requirements have to be expressed in semantic models which are too closely coupled to the data design. Failure to recognize the variety of designs which can represent the same facts also hampers other data administration functions which depend on adequate data documentation. Such func- tions include application planning, redundancy management, and information center services. And there are even implications for the design of high-level interfaces to diverse data.
In this paper we make some initial attempts to catalogue the range of such design options, and to suggest how design methodologies might be enhanced to exploit the options. We also point out that a similar range of options exists for the semantic enterprise descriptions which serve as input to such methodologies.
Copyright © 1982 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.
