A Model+Solver Approach to Concept Learning

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10037)

Abstract

Many Concept Learning problems can be seen as Constraint Satisfaction Problems (CSP). In this paper, we propose a model+solver approach to Concept Learning which combines the efficacy of Description Logics (DLs) in conceptual modeling with the efficiency of Answer Set Programming (ASP) solvers in dealing with CSPs.

Keywords

Concept learning Declarative modeling Description logics Answer set programming Constraint satisfaction 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Dipartimento di InformaticaUniversità degli Studi di Bari “Aldo Moro”BariItaly

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