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@inproceedings{DBLP:conf/vldb/YaoY86,
author = {Qingda Yao and
Rong Yi},
editor = {Wesley W. Chu and
Georges Gardarin and
Setsuo Ohsuga and
Yahiko Kambayashi},
title = {Relational Data Model with Cause-Effect Association (Abstract)},
booktitle = {VLDB'86 Twelfth International Conference on Very Large Data Bases,
August 25-28, 1986, Kyoto, Japan, Proceedings},
publisher = {Morgan Kaufmann},
year = {1986},
isbn = {0-934613-18-4},
pages = {375},
ee = {db/conf/vldb/YaoY86.html},
crossref = {DBLP:conf/vldb/86},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
RCEAS is an experimental system developed by the authors. It explores the application of the knowledge representation and deductive inference of Artificial Intelligence to CRDBMS which is a small relational database management system designed by the authors and is implemented on a PDP-11/23 computer.
This paper describes the Cause-Effect Association suggested in Su and Lo's SAM model by logic formulas based on the analysis of formal logic. It gives an account of the techniques that implement this association. RCEAS can represent certain specific basic cause-effect rules, and once it has all these rules input into the system, it can make deductive reasoning to obtain new rules and assertions, or find out the cause from a given effect, and vice versa.
Copyright © 1986 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.
