Journal of the Japanese Society for Artificial Intelligence
Online ISSN : 2435-8614
Print ISSN : 2188-2266
Print ISSN:0912-8085 until 2013
Deductive Network Database Systems
Makoto TAKIZAWA
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1987 Volume 2 Issue 2 Pages 182-191

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Abstract

This paper presents the design and implementation of deductive database systems for conventional network database systems. Although almost all of the researchers have been trying to combine the relational model and the logic programming, we try to augment the conventional network database system with inference facilities of resolutions. In this paper, we define a formal system based on the first-order theory for the conventional network model. Then, we show an improvement of the SLD resolution by taking advantage of the network model. In our refutation procedure, meaningless backtracking for finding a refutation and redundant refutations for finding all answer substitutions are prevented. Also, in our procedure, for a given goals, procedures which can obtain a set of answer substitutions are generated by accessing the conventional network database. The procedures are written in an object-oriented manner.

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© 1987 The Japaense Society for Artificial Intelligence
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