DocumentCode :
2721885
Title :
Extension table evaluation of datalog programs with negation
Author :
Shih, Chia-Fang ; Dietrich, Suzanne Wagner
Author_Institution :
Dept. of Comput. Sci. & Eng., Arizona State Univ., Tempe, AZ, USA
fYear :
1991
fDate :
27-30 Mar 1991
Firstpage :
792
Lastpage :
798
Abstract :
The authors describe the ET*NOT, algorithm, which uses the ET* algorithm to evaluate the predicates in negative literals and uses the resulting extension tables to represent the positive facts. If the literal is in the extension table, the result of the negation is false; otherwise, it is true. Applying the ET*NOT algorithm to evaluate negation has two advantages. The first advantage is that the ET*NOT algorithm extends the implementation of the negation as failure rule to evaluate negation under the more powerful closed world assumption. The second advantage is that the ET*NOT algorithm uses the materialized views of the predicates in the extension table and may avoid expensive recomputation
Keywords :
artificial intelligence; deductive databases; knowledge based systems; closed world assumption; datalog programs; deductive databases; extension table evaluation; failure rule; materialized views; negation; predicates; Algebra; Computer science; Data engineering; Data models; Database languages; Deductive databases; EMP radiation effects; Logic programming; Relational databases; Terminology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers and Communications, 1991. Conference Proceedings., Tenth Annual International Phoenix Conference on
Conference_Location :
Scottsdale, AZ
Print_ISBN :
0-8186-2133-8
Type :
conf
DOI :
10.1109/PCCC.1991.113896
Filename :
113896
Link To Document :
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