AbstractThe well-founded model provides a natural and robust semantics for logic programs with negative literals in rule bodies. Although various procedural semantics have been proposed for query evaluation under the well-founded semantics, the practical issues of implementation for effective and efficient computation of queries have been rarely discussed.This paper investigates two major implementation issues of query evaluation under the well-founded semantics, namely, (a) to ensure that negative literals be resolved only after their positive counterparts have been completely evaluated, and (b) to detect and handle potential negative loops. We present efficient incremental algorithms for maintaining positive and negative dependencies amon...
. Using a calculus of goals, we define the success and failure of a goal for propositional programs ...
Prolog systems currently work with the restriction that negative subgoals not contain free variables...
An accident of implementation may be responsible for the fact that Logic Programming, Deductive Data...
AbstractThe well-founded model provides a natural and robust semantics for logic programs with negat...
AbstractConstructive negation derives constraint answers for non-ground negative literals. Its incor...
. In this paper we define a sound and complete top-- down semantic tree characterization, that inclu...
AbstractWe present a bottom-up operational procedure for computing well-founded models of allowed pr...
AbstractThe well-founded semantics has gained wide acceptance partly because it is a skeptical seman...
AbstractBased on the search forest for positive programs as defined by Bol and Degerstedt, we define...
PROLOG is the most well known, widely used programming language for logic programming. PROLOG is a ...
We define a new semantics for disjunctive logic programs in an abstract way as the weakest semantics...
AbstractGlobal SLS resolution is an ideal procedural semantics for the well-founded semantics. We pr...
In this paper, we propose a bottom-up partial evaluation of normal programs with a top-down expansio...
Abstract. We consider the efficient implementa-tion of the bottom-up evaluation method for recursive...
We present a bottom-up algorithm for the computation of the well-founded model of non-disjunctive lo...
. Using a calculus of goals, we define the success and failure of a goal for propositional programs ...
Prolog systems currently work with the restriction that negative subgoals not contain free variables...
An accident of implementation may be responsible for the fact that Logic Programming, Deductive Data...
AbstractThe well-founded model provides a natural and robust semantics for logic programs with negat...
AbstractConstructive negation derives constraint answers for non-ground negative literals. Its incor...
. In this paper we define a sound and complete top-- down semantic tree characterization, that inclu...
AbstractWe present a bottom-up operational procedure for computing well-founded models of allowed pr...
AbstractThe well-founded semantics has gained wide acceptance partly because it is a skeptical seman...
AbstractBased on the search forest for positive programs as defined by Bol and Degerstedt, we define...
PROLOG is the most well known, widely used programming language for logic programming. PROLOG is a ...
We define a new semantics for disjunctive logic programs in an abstract way as the weakest semantics...
AbstractGlobal SLS resolution is an ideal procedural semantics for the well-founded semantics. We pr...
In this paper, we propose a bottom-up partial evaluation of normal programs with a top-down expansio...
Abstract. We consider the efficient implementa-tion of the bottom-up evaluation method for recursive...
We present a bottom-up algorithm for the computation of the well-founded model of non-disjunctive lo...
. Using a calculus of goals, we define the success and failure of a goal for propositional programs ...
Prolog systems currently work with the restriction that negative subgoals not contain free variables...
An accident of implementation may be responsible for the fact that Logic Programming, Deductive Data...