DocumentCode :
1401297
Title :
Combining multiple knowledge bases
Author :
Baral, Chitta ; Kraus, Sarit ; Minker, Jack
Author_Institution :
Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA
Volume :
3
Issue :
2
fYear :
1991
fDate :
6/1/1991 12:00:00 AM
Firstpage :
208
Lastpage :
220
Abstract :
Combining knowledge present in multiple knowledge base systems into a single knowledge base is discussed. A knowledge based system can be considered an extension of a deductive database in that it permits function symbols as part of the theory. Alternative knowledge bases that deal with the same subject matter are considered. The authors define the concept of combining knowledge present in a set of knowledge bases and present algorithms to maximally combine them so that the combination is consistent with respect to the integrity constraints associated with the knowledge bases. For this, the authors define the concept of maximality and prove that the algorithms presented combine the knowledge bases to generate a maximal theory. The authors also discuss the relationships between combining multiple knowledge bases and the view update problem
Keywords :
data integrity; database theory; deductive databases; knowledge based systems; deductive database; function symbols; integrity constraints; knowledge based system; maximal theory; maximality; multiple knowledge base systems; single knowledge base; view update problem; Computer science; Constraint theory; Deductive databases; Helium; Knowledge based systems; Knowledge management; Lifting equipment; Logic; Marine vehicles; Military computing;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/69.88001
Filename :
88001
Link To Document :
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