Inferring negative information from disjunctive databases
Journal of Automated Reasoning
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Journal of Automated Reasoning
Journal of the ACM (JACM)
Foundations of disjunctive logic programming
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Theoretical Computer Science
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STOC '82 Proceedings of the fourteenth annual ACM symposium on Theory of computing
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Theory and Practice of Logic Programming
Logic programming languages for databases and the web
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In this paper, we propose a variant of stable model semantics for disjunctive logic programming and deductive databases. The semantics, called minimal founded, generalizes stable model semantics for normal (i.e. non-disjunctive) programs, but differs from disjunctive stable model semantics (the extension of stable model semantics for disjunctive programs). Compared with disjunctive stable model semantics, minimal founded semantics seems to be more intuitive, it gives meaning to programs which are meaningless under stable model semantics and is no harder to compute. More specifically, minimal founded semantics differs from stable model semantics only for disjunctive programs having constraint rules or rules working as constraints. We study the expressive power of the semantics, and show that for general disjunctive datalog programs it has the same power as disjunctive stable model semantics.