001/**
002 * Copyright (C) 2007 - 2016, Jens Lehmann
003 *
004 * This file is part of DL-Learner.
005 *
006 * DL-Learner is free software; you can redistribute it and/or modify
007 * it under the terms of the GNU General Public License as published by
008 * the Free Software Foundation; either version 3 of the License, or
009 * (at your option) any later version.
010 *
011 * DL-Learner is distributed in the hope that it will be useful,
012 * but WITHOUT ANY WARRANTY; without even the implied warranty of
013 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
014 * GNU General Public License for more details.
015 *
016 * You should have received a copy of the GNU General Public License
017 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
018 */
019package org.dllearner.algorithms.properties;
020
021import java.util.SortedSet;
022
023import org.dllearner.core.ComponentAnn;
024import org.dllearner.core.ConsoleAxiomLearningProgressMonitor;
025import org.dllearner.kb.SparqlEndpointKS;
026import org.dllearner.kb.sparql.SparqlEndpoint;
027import org.semanticweb.owlapi.dlsyntax.renderer.DLSyntaxObjectRenderer;
028import org.semanticweb.owlapi.io.ToStringRenderer;
029import org.semanticweb.owlapi.model.AxiomType;
030import org.semanticweb.owlapi.model.IRI;
031import org.semanticweb.owlapi.model.OWLObjectProperty;
032import org.semanticweb.owlapi.model.OWLSubObjectPropertyOfAxiom;
033import uk.ac.manchester.cs.owl.owlapi.OWLObjectPropertyImpl;
034
035@ComponentAnn(name = "object subproperty axiom learner", shortName = "oplsubprop", version = 0.1, description="A learning algorithm object subproperty axioms.")
036public class SubObjectPropertyOfAxiomLearner extends ObjectPropertyHierarchyAxiomLearner<OWLSubObjectPropertyOfAxiom>{
037
038        private final double BETA = 3.0;
039
040        public SubObjectPropertyOfAxiomLearner(SparqlEndpointKS ks) {
041                super(ks);
042                
043                setBeta(BETA);
044                
045                axiomType = AxiomType.SUB_OBJECT_PROPERTY;
046        }
047
048        /* (non-Javadoc)
049         * @see org.dllearner.core.AbstractAxiomLearningAlgorithm#getExistingAxioms()
050         */
051        @Override
052        protected void getExistingAxioms() {
053                SortedSet<OWLObjectProperty> existingSuperProperties = reasoner.getSuperProperties(entityToDescribe);
054                if (existingSuperProperties != null && !existingSuperProperties.isEmpty()) {
055                        for (OWLObjectProperty supProp : existingSuperProperties) {
056                                existingAxioms.add(df.getOWLSubObjectPropertyOfAxiom(entityToDescribe, supProp));
057                        }
058                        logger.info("Existing axioms:" + existingAxioms);
059                }
060        }
061        
062        /* (non-Javadoc)
063         * @see org.dllearner.algorithms.properties.ObjectPropertyHierarchyAxiomLearner#getAxiom(org.semanticweb.owlapi.model.OWLObjectProperty, org.semanticweb.owlapi.model.OWLObjectProperty)
064         */
065        @Override
066        public OWLSubObjectPropertyOfAxiom getAxiom(OWLObjectProperty property, OWLObjectProperty otherProperty) {
067                return df.getOWLSubObjectPropertyOfAxiom(property, otherProperty);
068        }
069
070        public static void main(String[] args) throws Exception {
071                ToStringRenderer.getInstance().setRenderer(new DLSyntaxObjectRenderer());
072                SparqlEndpointKS ks = new SparqlEndpointKS(SparqlEndpoint.getEndpointDBpedia());
073                ks.init();
074
075                SubObjectPropertyOfAxiomLearner la = new SubObjectPropertyOfAxiomLearner(ks);
076                la.setEntityToDescribe(new OWLObjectPropertyImpl(IRI.create("http://dbpedia.org/ontology/author")));
077                la.setUseSampling(false);
078                la.setBatchMode(true);
079                la.setProgressMonitor(new ConsoleAxiomLearningProgressMonitor());
080                la.init();
081
082                la.start();
083
084                la.getCurrentlyBestEvaluatedAxioms().forEach(ax -> {
085                        System.out.println("---------------\n" + ax);
086                        la.getPositiveExamples(ax).stream().limit(5).forEach(System.out::println);
087                });
088        }
089}