dl-learner-svn Mailing List for DL-Learner (Page 165)

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Revision: 177
          http://dl-learner.svn.sourceforge.net/dl-learner/?rev=177&view=rev
Author:   jenslehmann
Date:     2007-10-08 02:49:14 -0700 (Mon, 08 Oct 2007)

Log Message:
-----------
implemented inclusion learning problem

Modified Paths:
--------------
    trunk/lib/components.ini
    trunk/src/dl-learner/org/dllearner/learningproblems/PosNegDefinitionLP.java
    trunk/src/dl-learner/org/dllearner/learningproblems/PosNegInclusionLP.java

Modified: trunk/lib/components.ini
===================================================================

--- trunk/lib/components.ini	2007-10-08 08:30:59 UTC (rev 176)
+++ trunk/lib/components.ini	2007-10-08 09:49:14 UTC (rev 177)
@@ -5,9 +5,10 @@
 org.dllearner.kb.KBFile
 org.dllearner.kb.SparqlEndpoint
 # reasoners
-org.dllearner.reasoning.DIGReasonerNew
+org.dllearner.reasoning.DIGReasoner
 # learning problems
 org.dllearner.learningproblems.PosNegDefinitionLP
+org.dllearner.learningproblems.PosNegInclusionLP
 # learning algorithms
 org.dllearner.algorithms.RandomGuesser
 org.dllearner.algorithms.refinement.ROLearner

Modified: trunk/src/dl-learner/org/dllearner/learningproblems/PosNegDefinitionLP.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/learningproblems/PosNegDefinitionLP.java	2007-10-08 08:30:59 UTC (rev 176)
+++ trunk/src/dl-learner/org/dllearner/learningproblems/PosNegDefinitionLP.java	2007-10-08 09:49:14 UTC (rev 177)
@@ -56,6 +56,12 @@
 		super(reasoningService);
 	}
 
+	public PosNegDefinitionLP(ReasoningService reasoningService, SortedSet<Individual> positiveExamples, SortedSet<Individual> negativeExamples) {
+		super(reasoningService);
+		this.positiveExamples = positiveExamples;
+		this.negativeExamples = negativeExamples;
+	}
+	
 	/*
 	 * (non-Javadoc)
 	 * 

Modified: trunk/src/dl-learner/org/dllearner/learningproblems/PosNegInclusionLP.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/learningproblems/PosNegInclusionLP.java	2007-10-08 08:30:59 UTC (rev 176)
+++ trunk/src/dl-learner/org/dllearner/learningproblems/PosNegInclusionLP.java	2007-10-08 09:49:14 UTC (rev 177)
@@ -21,31 +21,38 @@
 
 import java.util.Collection;
 import java.util.LinkedList;
-import java.util.Set;
-import java.util.SortedSet;
 
 import org.dllearner.core.BooleanConfigOption;
-import org.dllearner.core.CommonConfigMappings;
-import org.dllearner.core.ConfigEntry;
 import org.dllearner.core.ConfigOption;
-import org.dllearner.core.InvalidConfigOptionValueException;
-import org.dllearner.core.LearningProblem;
 import org.dllearner.core.ReasoningService;
 import org.dllearner.core.Score;
 import org.dllearner.core.StringSetConfigOption;
 import org.dllearner.core.dl.Concept;
-import org.dllearner.core.dl.Individual;
+import org.dllearner.core.dl.Negation;
 
 /**
+ * The aim of this learning problem is to find an appropriate inclusion axiom
+ * given positive and negative examples. 
+ * 
+ * This is similar to the definition learning problem, but here the positive 
+ * and negative examples usually do not follow when the inclusion is added to 
+ * the knowledge base. This raises the question how the quality of a concept
+ * with respect to this learning problem can be measured. Due to the fact that
+ * the inclusion does not entail examples, we have to look at the negation of
+ * the concept we are looking at. For a good solution it is the case that
+ * no positive examples follow from the negated concept, the negative 
+ * examples follow from it. This means that the standard definition learning
+ * problem and the inclusion learning problem can be seen as two possible
+ * weakenings of the strict definition learning problem. (Of course, both problems
+ * can yield the same solution.) 
+ * 
  * @author Jens Lehmann
  *
  */
 public class PosNegInclusionLP extends PosNegLP implements InclusionLP {
 
-	private SortedSet<Individual> positiveExamples;
-	private SortedSet<Individual> negativeExamples;
-	private SortedSet<Individual> posNegExamples;
-
+	private PosNegDefinitionLP definitionLP;
+	
 	public PosNegInclusionLP(ReasoningService reasoningService) {
 		super(reasoningService);
 	}
@@ -64,56 +71,43 @@
 	/*
 	 * (non-Javadoc)
 	 * 
-	 * @see org.dllearner.core.Component#applyConfigEntry(org.dllearner.core.ConfigEntry)
+	 * @see org.dllearner.core.Component#getName()
 	 */
-	@Override
-	@SuppressWarnings( { "unchecked" })
-	public <T> void applyConfigEntry(ConfigEntry<T> entry) throws InvalidConfigOptionValueException {
-		String name = entry.getOptionName();
-		if (name.equals("positiveExamples"))
-			positiveExamples = CommonConfigMappings
-					.getIndividualSet((Set<String>) entry.getValue());
-		else if (name.equals("negativeExamples"))
-			negativeExamples = CommonConfigMappings
-					.getIndividualSet((Set<String>) entry.getValue());
-		else if (name.equals("useRetrievalForClassification"))
-			useRetrievalForClassification = (Boolean) entry.getValue();
+	public static String getName() {
+		return "inclusion learning problem";
 	}
 
 	/*
 	 * (non-Javadoc)
 	 * 
-	 * @see org.dllearner.core.Component#getName()
-	 */
-	public static String getName() {
-		return "two valued definition learning problem";
-	}
-
-	/* (non-Javadoc)
 	 * @see org.dllearner.core.Component#init()
 	 */
 	@Override
 	public void init() {
-		// TODO Auto-generated method stub
-
+		super.init();
+		definitionLP = new PosNegDefinitionLP(reasoningService, negativeExamples, positiveExamples);
 	}
-
-	/* (non-Javadoc)
+	
+	/**
+	 * Calls the same method on the standard definition learning problem, but 
+	 * negates the concept before and permutes positive and negative examples.
+	 * 
 	 * @see org.dllearner.learningproblems.PosNegLP#coveredNegativeExamplesOrTooWeak(org.dllearner.core.dl.Concept)
 	 */
 	@Override
 	public int coveredNegativeExamplesOrTooWeak(Concept concept) {
-		// TODO Auto-generated method stub
-		return 0;
+		return definitionLP.coveredNegativeExamplesOrTooWeak(new Negation(concept));
 	}
 
-	/* (non-Javadoc)
+	/** 
+	 * Calls the same method on the standard definition learning problem, but 
+	 * negates the concept before and permutes positive and negative examples.
+	 * 
 	 * @see org.dllearner.core.LearningProblemNew#computeScore(org.dllearner.core.dl.Concept)
 	 */
 	@Override
 	public Score computeScore(Concept concept) {
-		// TODO Auto-generated method stub
-		return null;
+		return definitionLP.computeScore(new Negation(concept));
 	}
 
 }


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dl-learner-svn Mailing List for DL-Learner (Page 165)

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