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Redundancy Reduction Algorithms in Rule-Based Knowledge Bases.

Authors :
Zhang, Yongjie
Deng, Ansheng
Source :
International Journal of Pattern Recognition & Artificial Intelligence; Nov2016, Vol. 30 Issue 9, p-1, 16p
Publication Year :
2016

Abstract

Redundancy rules in knowledge bases will affect the reasoning process of knowledge bases. And they will take up a lot of unnecessary memory space. So the notions of redundancy rules are briefly introduced. Meanwhile they are classified into four types. This paper studies the redundancy rules based on propositional logic and presents the reduction algorithms of four kinds of redundancy rules. They are equivalent redundancy rules, implication redundancy rules and cycle redundancy rules in explicit redundancy rules and condition redundancy rules in implicit redundancy rules. The reduction in this paper optimizes the structure of rule-based knowledge bases. And it also improves the efficiency of time and space of the reasoning on knowledge bases. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02180014
Volume :
30
Issue :
9
Database :
Complementary Index
Journal :
International Journal of Pattern Recognition & Artificial Intelligence
Publication Type :
Academic Journal
Accession number :
119597581
Full Text :
https://doi.org/10.1142/S0218001416600119