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Design and implementation of aggregate functions in the DLVsystem*

Published online by Cambridge University Press:  01 November 2008

WOLFGANG FABER ,
GERALD PFEIFER ,
NICOLA LEONE ,
TINA DELL'ARMI  and
GIUSEPPE IELPA
WOLFGANG FABER
Affiliation:
Department of Mathematics, University of Calabria87036 Rende (CS), Italy (e-mail: [email protected], [email protected], [email protected], [email protected], [email protected])
GERALD PFEIFER
Affiliation:
Department of Mathematics, University of Calabria87036 Rende (CS), Italy (e-mail: [email protected], [email protected], [email protected], [email protected], [email protected])
NICOLA LEONE
Affiliation:
Department of Mathematics, University of Calabria87036 Rende (CS), Italy (e-mail: [email protected], [email protected], [email protected], [email protected], [email protected])
TINA DELL'ARMI
Affiliation:
Department of Mathematics, University of Calabria87036 Rende (CS), Italy (e-mail: [email protected], [email protected], [email protected], [email protected], [email protected])
GIUSEPPE IELPA
Affiliation:
Department of Mathematics, University of Calabria87036 Rende (CS), Italy (e-mail: [email protected], [email protected], [email protected], [email protected], [email protected])
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Abstract

Disjunctive logic programming (DLP) is a very expressive formalism. It allows forexpressing every property of finite structures that is decidable in thecomplexity class ΣP2(=NPNP). Despite this high expressiveness, thereare some simple properties, often arising in real-world applications, whichcannot be encoded in a simple and natural manner. Especially properties thatrequire the use of arithmetic operators (like sum, times, or count) on a set ormultiset of elements, which satisfy some conditions, cannot be naturallyexpressed in classic DLP. To overcome this deficiency, we extend DLP byaggregate functions in a conservative way. In particular, we avoid theintroduction of constructs with disputed semantics, by requiring aggregates tobe stratified. We formally define the semantics of the extended language (called ), and illustrate how it can be profitably used for representingknowledge. Furthermore, we analyze the computational complexity of , showing that the addition of aggregates does not bring a highercost in that respect. Finally, we provide an implementation of in DLV—a state-of-the-art DLP system—andreport on experiments which confirm the usefulness of the proposed extensionalso for the efficiency of computation.

Keywords

disjunctive logic programminganswer set programmingaggregatesknowledge representationimplementation
Type
Regular Papers
Information
Theory and Practice of Logic Programming , Volume 8 , Issue 5-6 , November 2008 , pp. 545 - 580
Copyright
Copyright © Cambridge University Press 2008

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