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[DL-Learner SVN] SF.net SVN: dl-learner:[3892] trunk/scripts/src/main/java/org/dllearner/ scripts/OntologyMatching.java
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From: <lor...@us...> - 2013-01-25 13:04:42
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Revision: 3892
http://dl-learner.svn.sourceforge.net/dl-learner/?rev=3892&view=rev
Author: lorenz_b
Date: 2013-01-25 13:04:28 +0000 (Fri, 25 Jan 2013)
Log Message:
-----------
Continued matching script.
Modified Paths:
--------------
trunk/scripts/src/main/java/org/dllearner/scripts/OntologyMatching.java
Modified: trunk/scripts/src/main/java/org/dllearner/scripts/OntologyMatching.java
===================================================================
--- trunk/scripts/src/main/java/org/dllearner/scripts/OntologyMatching.java 2013-01-25 12:02:10 UTC (rev 3891)
+++ trunk/scripts/src/main/java/org/dllearner/scripts/OntologyMatching.java 2013-01-25 13:04:28 UTC (rev 3892)
@@ -1,19 +1,30 @@
package org.dllearner.scripts;
import java.net.URL;
+import java.text.DecimalFormat;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Map.Entry;
import java.util.Set;
import java.util.SortedSet;
import java.util.TreeSet;
+import org.apache.log4j.ConsoleAppender;
+import org.apache.log4j.Level;
import org.apache.log4j.Logger;
+import org.apache.log4j.PatternLayout;
import org.dllearner.algorithms.celoe.CELOE;
import org.dllearner.core.AbstractLearningProblem;
import org.dllearner.core.AbstractReasonerComponent;
import org.dllearner.core.ComponentInitException;
+import org.dllearner.core.EvaluatedDescription;
+import org.dllearner.core.owl.Description;
import org.dllearner.core.owl.Individual;
import org.dllearner.core.owl.NamedClass;
import org.dllearner.core.owl.ObjectProperty;
import org.dllearner.kb.SparqlEndpointKS;
+import org.dllearner.kb.extraction.ExtractionAlgorithm;
import org.dllearner.kb.sparql.ExtractionDBCache;
import org.dllearner.kb.sparql.SPARQLTasks;
import org.dllearner.kb.sparql.SparqlEndpoint;
@@ -26,7 +37,12 @@
import org.dllearner.utilities.datastructures.Datastructures;
import org.dllearner.utilities.datastructures.SortedSetTuple;
import org.dllearner.utilities.examples.AutomaticNegativeExampleFinderSPARQL2;
+import org.dllearner.utilities.owl.DLLearnerDescriptionConvertVisitor;
+import org.dllearner.utilities.owl.OWLAPIDescriptionConvertVisitor;
+import org.semanticweb.owlapi.io.ToStringRenderer;
+import uk.ac.manchester.cs.owl.owlapi.mansyntaxrenderer.ManchesterOWLSyntaxOWLObjectRendererImpl;
+
import com.hp.hpl.jena.query.Query;
import com.hp.hpl.jena.query.QueryFactory;
import com.hp.hpl.jena.query.QuerySolution;
@@ -63,11 +79,51 @@
}
public void start(){
- computeMatching(kb1, kb2);
- computeMatching(kb2, kb1);
+ Map<Description, List<? extends EvaluatedDescription>> mapping1 = computeMapping(kb1, kb2);
+ printMappingPretty(mapping1);
+ Map<Description, List<? extends EvaluatedDescription>> mapping2 = computeMapping(kb2, kb1);
+ printMappingPretty(mapping2);
}
- private void computeMatching(KnowledgeBase source, KnowledgeBase target) {
+ private void printMapping(Map<Description, List<? extends EvaluatedDescription>> mapping){
+ logger.info("Source Class -> Target Class Expression");
+ for (Entry<Description, List<? extends org.dllearner.core.EvaluatedDescription>> entry : mapping.entrySet()) {
+ Description key = entry.getKey();
+ int length = key.toString().length();
+ String indention = "";
+ for(int i = 0; i < length; i++){
+ indention += " ";
+ }
+ List<? extends org.dllearner.core.EvaluatedDescription> value = entry.getValue();
+ logger.info(key.toString());
+ for (EvaluatedDescription evaluatedDescription : value) {
+ logger.info(indention + "\t->\t" + evaluatedDescription);
+ }
+ }
+ }
+
+ private void printMappingPretty(Map<Description, List<? extends EvaluatedDescription>> mapping){
+ DecimalFormat dfPercent = new DecimalFormat("0.00%");
+ logger.info("Source Class -> Target Class Expression");
+ for (Entry<Description, List<? extends org.dllearner.core.EvaluatedDescription>> entry : mapping.entrySet()) {
+ Description key = entry.getKey();
+ int length = OWLAPIDescriptionConvertVisitor.getOWLClassExpression(key).toString().length();
+ String indention = "";
+ for(int i = 0; i < length; i++){
+ indention += " ";
+ }
+ List<? extends org.dllearner.core.EvaluatedDescription> value = entry.getValue();
+ logger.info(OWLAPIDescriptionConvertVisitor.getOWLClassExpression(key));
+ for (EvaluatedDescription evaluatedDescription : value) {
+ logger.info(indention + "\t->\t" +
+ OWLAPIDescriptionConvertVisitor.getOWLClassExpression(evaluatedDescription.getDescription()) +
+ "(" + dfPercent.format(evaluatedDescription.getAccuracy()) + ")");
+ }
+ }
+ }
+
+ private Map<Description, List<? extends EvaluatedDescription>> computeMapping(KnowledgeBase source, KnowledgeBase target) {
+ Map<Description, List<? extends EvaluatedDescription>> mapping = new HashMap<Description, List<? extends EvaluatedDescription>>();
// get all classes in SOURCE
Set<NamedClass> sourceClasses = getClasses(source);
@@ -79,16 +135,18 @@
logger.info(individuals);
//learn concept in KB2 based on the examples
if(individuals.size() >= 3){
- learnClassExpression(target, individuals);
+ List<? extends EvaluatedDescription> learnedClassExpressions = learnClassExpression(target, individuals);
+ mapping.put(nc, learnedClassExpressions);
}
}
+ return mapping;
}
- private void learnClassExpression(KnowledgeBase kb, SortedSet<Individual> posExamples){
- learnClassExpression(kb, posExamples, false);
+ private List<? extends EvaluatedDescription> learnClassExpression(KnowledgeBase kb, SortedSet<Individual> posExamples){
+ return learnClassExpression(kb, posExamples, false);
}
- private void learnClassExpression(KnowledgeBase kb, SortedSet<Individual> positiveExamples, boolean posNeg){
+ private List<? extends EvaluatedDescription> learnClassExpression(KnowledgeBase kb, SortedSet<Individual> positiveExamples, boolean posNeg){
try {
SortedSet<Individual> negativeExamples = new TreeSet<Individual>();
if(posNeg){
@@ -132,11 +190,14 @@
la.setNoisePercentage(25);
la.init();
la.start();
+
+ logger.info(la.getCurrentlyBestEvaluatedDescription());
- logger.info(la.getCurrentlyBestEvaluatedDescription());
+ return la.getCurrentlyBestEvaluatedDescriptions(10);
} catch (ComponentInitException e) {
e.printStackTrace();
}
+ return null;
}
private Set<NamedClass> getClasses(KnowledgeBase kb){
@@ -195,7 +256,11 @@
qs = rs.next();
RDFNode object = qs.get("o");
if(object.isURIResource()){
- relatedIndividuals.add(new Individual(object.asResource().getURI()));
+
+ String uri = object.asResource().getURI();
+ //workaround for World Factbook - should be removed later
+ uri = uri.replace("http://www4.wiwiss.fu-berlin.de/factbook/resource/", "http://wifo5-03.informatik.uni-mannheim.de/factbook/resource/");
+ relatedIndividuals.add(new Individual(uri));
}
}
return relatedIndividuals;
@@ -272,6 +337,14 @@
* @param args
*/
public static void main(String[] args) throws Exception{
+ //render output
+ ToStringRenderer.getInstance().setRenderer(new ManchesterOWLSyntaxOWLObjectRendererImpl());
+ //set logging properties
+ Logger.getLogger(SparqlKnowledgeSource.class).setLevel(Level.WARN);
+ Logger.getLogger(ExtractionAlgorithm.class).setLevel(Level.WARN);
+ Logger.getLogger(org.dllearner.kb.extraction.Manager.class).setLevel(Level.WARN);
+ Logger.getRootLogger().removeAllAppenders();
+ Logger.getRootLogger().addAppender(new ConsoleAppender(new PatternLayout("%m%n")));
// KB2
SparqlEndpoint endpoint1 = SparqlEndpoint.getEndpointDBpedia();
ExtractionDBCache cache1 = new ExtractionDBCache("cache");
@@ -280,6 +353,10 @@
// KB2
SparqlEndpoint endpoint2 = new SparqlEndpoint(new URL("http://wifo5-03.informatik.uni-mannheim.de/factbook/sparql"));
ExtractionDBCache cache2 = new ExtractionDBCache("cache");
+ //TODO problem with World Factbook is that old FU Berlin server is useless because of bugs and current version
+ //is provide by University Of Mannheim now with another namespace http://wifo5-03.informatik.uni-mannheim.de/factbook/resource/
+ //but the DBpedia links are still to the old D2R server instance
+ //workaround: replace namespace before learning
String namespace2 = "http://www4.wiwiss.fu-berlin.de/factbook/resource/";
KnowledgeBase kb2 = new KnowledgeBase(endpoint2, cache2, namespace2);
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