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28th Hawaii International Conference on System Sciences (HICSS'95)
Hawaii, USA
January 04-January 07
ISBN: 0-8186-6940-3
ASCII Text
x 
 
A. Basu, R.W. Blanning, "Discovering implicit integrity constraints in rule bases using metagraphs," Hawaii International Conference on System Sciences, pp. 321, 28th Hawaii International Conference on System Sciences (HICSS'95), 1995.
 
 
BibTex
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@article{ 10.1109/HICSS.1995.375612,
author = {A. Basu and R.W. Blanning},
title = {Discovering implicit integrity constraints in rule bases using metagraphs},
journal ={Hawaii International Conference on System Sciences},
volume = {0},
year = {1995},
issn = {1060-3425},
pages = {321},
doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.1995.375612},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Hawaii International Conference on System Sciences
TI - Discovering implicit integrity constraints in rule bases using metagraphs
SN - 1060-3425
SP
EP
A1 - A. Basu,
A1 - R.W. Blanning,
PY - 1995
KW - decision support systems; knowledge based systems; graph theory; data integrity; knowledge representation; implicit integrity constraints; rule bases; metagraphs; graph formalism; DSS; knowledge based system; domain knowledge; if-then rules; integrity constraints; rule base; problem solving; metagraph representation
VL - 0
JA - Hawaii International Conference on System Sciences
ER -
 
A. Basu, Owen Graduate Sch. of Manage., Vanderbilt Univ., Nashville, TN, USA
R.W. Blanning, Owen Graduate Sch. of Manage., Vanderbilt Univ., Nashville, TN, USA
A metagraph is a graph formalism that can be used to model the different components of a DSS and to analyze the interactions among them. One such component is a knowledge based system (KBS) in which domain knowledge is stored as if-then rules. In addition to such rules, a KBS can also contain a set of integrity constraints, which are used to manage the rule base both during updates and problem solving. We show how metagraph representation of a rule base can facilitate discovery of implicit integrity constraints in addition to explicitly stated ones.
Index Terms:
decision support systems; knowledge based systems; graph theory; data integrity; knowledge representation; implicit integrity constraints; rule bases; metagraphs; graph formalism; DSS; knowledge based system; domain knowledge; if-then rules; integrity constraints; rule base; problem solving; metagraph representation
Citation:
A. Basu, R.W. Blanning, "Discovering implicit integrity constraints in rule bases using metagraphs," hicss, pp.321, 28th Hawaii International Conference on System Sciences (HICSS'95), 1995
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