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.learningproblems; 020 021import org.dllearner.core.AbstractLearningProblem; 022import org.dllearner.core.ComponentAnn; 023import org.dllearner.core.ComponentInitException; 024import org.dllearner.core.EvaluatedAxiom; 025import org.semanticweb.owlapi.model.OWLProperty; 026import org.semanticweb.owlapi.model.OWLPropertyAxiom; 027 028@ComponentAnn(name = "PropertyAxiomLearningProblem", shortName = "palp", version = 0.6) 029public class PropertyAxiomLearningProblem<T extends OWLPropertyAxiom> extends AbstractLearningProblem<AxiomScore, T, EvaluatedAxiom<T>>{ 030 031 private OWLProperty propertyToDescribe; 032 033 @Override 034 public void init() throws ComponentInitException { 035 // TODO Auto-generated method stub 036 throw new ComponentInitException("not implemented"); 037 } 038 039 @Override 040 public AxiomScore computeScore(T hypothesis, double noise) { 041 // TODO Auto-generated method stub 042 return null; 043 } 044 045 @Override 046 public double getAccuracyOrTooWeak(T hypothesis, double noise) { 047 // TODO Auto-generated method stub 048 return 0; 049 } 050}