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A Transformation-based implementation for CLP with qualification and proximity*

Published online by Cambridge University Press:  25 April 2012

R. CABALLERO ,
M. RODRÍGUEZ-ARTALEJO  and
C. A. ROMERO-DÍAZ
R. CABALLERO
Affiliation:
Departamento de Sistemas Informáticos y Computación, Universidad Complutense, Facultad de Informática, 28040 Madrid, Spain (e-mail: rafa@sip.ucm.es, mario@sip.ucm.es, cromdia@fdi.ucm.es)
M. RODRÍGUEZ-ARTALEJO
Affiliation:
Departamento de Sistemas Informáticos y Computación, Universidad Complutense, Facultad de Informática, 28040 Madrid, Spain (e-mail: rafa@sip.ucm.es, mario@sip.ucm.es, cromdia@fdi.ucm.es)
C. A. ROMERO-DÍAZ
Affiliation:
Departamento de Sistemas Informáticos y Computación, Universidad Complutense, Facultad de Informática, 28040 Madrid, Spain (e-mail: rafa@sip.ucm.es, mario@sip.ucm.es, cromdia@fdi.ucm.es)
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Abstract

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Uncertainty in logic programming has been widely investigated in the last decades, leading to multiple extensions of the classical logic programming paradigm. However, few of these are designed as extensions of the well-established and powerful Constraint Logic Programming (CLP) scheme for CLP. In a previous work we have proposed the proximity-based qualified constraint logic programming (SQCLP) scheme as a quite expressive extension of CLP with support for qualification values and proximity relations as generalizations of uncertainty values and similarity relations, respectively. In this paper we provide a transformation technique for transforming SQCLP programs and goals into semantically equivalent CLP programs and goals, and a practical Prolog-based implementation of some particularly useful instances of the SQCLP scheme. We also illustrate, by showing some simple – and working – examples, how the prototype can be effectively used as a tool for solving problems where qualification values and proximity relations play a key role. Intended use of SQCLP includes flexible information retrieval applications.

Keywords

constraint logic programmingprogram transformationqualification domains and valuessimilarity and proximity relationsflexible information retrieval

Information

Type
Regular Papers
Information
Theory and Practice of Logic Programming , Volume 14 , Issue 1 , January 2014 , pp. 1 - 63
Copyright
Copyright © Cambridge University Press 2012 

Footnotes

*

This work has been partially supported by the Spanish projects STAMP (TIN2008-06622-C03-01), PROMETIDOS–CM (S2009TIC-1465) and GPD–UCM (UCM–BSCH–GR58/08-910502).

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