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[DL-Learner SVN] SF.net SVN: dl-learner:[3069] trunk
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From: <lor...@us...> - 2011-08-18 14:49:28
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Revision: 3069
http://dl-learner.svn.sourceforge.net/dl-learner/?rev=3069&view=rev
Author: lorenz_b
Date: 2011-08-18 14:49:21 +0000 (Thu, 18 Aug 2011)
Log Message:
-----------
Small bugfix.
Modified Paths:
--------------
trunk/components-core/src/main/java/org/dllearner/algorithms/DisjointClassesLearner.java
trunk/components-core/src/main/java/org/dllearner/algorithms/properties/DisjointObjectPropertyAxiomLearner.java
trunk/components-core/src/main/java/org/dllearner/core/owl/DisjointClassesAxiom.java
trunk/interfaces/src/main/java/org/dllearner/cli/Enrichment.java
trunk/scripts/src/main/java/org/dllearner/scripts/evaluation/EnrichmentEvaluation.java
Added Paths:
-----------
trunk/components-core/src/main/java/org/dllearner/utilities/owl/OWL2SPARULConverter.java
trunk/scripts/src/main/resources/log4j.properties
Modified: trunk/components-core/src/main/java/org/dllearner/algorithms/DisjointClassesLearner.java
===================================================================
--- trunk/components-core/src/main/java/org/dllearner/algorithms/DisjointClassesLearner.java 2011-08-18 09:22:41 UTC (rev 3068)
+++ trunk/components-core/src/main/java/org/dllearner/algorithms/DisjointClassesLearner.java 2011-08-18 14:49:21 UTC (rev 3069)
@@ -288,7 +288,7 @@
l.init();
l.start();
- for(EvaluatedDescription e : l.getCurrentlyBestEvaluatedDescriptions(300)){
+ for(EvaluatedAxiom e : l.getCurrentlyBestEvaluatedAxioms(50)){
System.out.println(e);
}
Modified: trunk/components-core/src/main/java/org/dllearner/algorithms/properties/DisjointObjectPropertyAxiomLearner.java
===================================================================
--- trunk/components-core/src/main/java/org/dllearner/algorithms/properties/DisjointObjectPropertyAxiomLearner.java 2011-08-18 09:22:41 UTC (rev 3068)
+++ trunk/components-core/src/main/java/org/dllearner/algorithms/properties/DisjointObjectPropertyAxiomLearner.java 2011-08-18 14:49:21 UTC (rev 3069)
@@ -137,9 +137,8 @@
public List<Axiom> getCurrentlyBestAxioms(int nrOfAxioms) {
List<Axiom> bestAxioms = new ArrayList<Axiom>();
- Iterator<EvaluatedAxiom> it = currentlyBestAxioms.iterator();
- while(bestAxioms.size() < nrOfAxioms && it.hasNext()){
- bestAxioms.add(it.next().getAxiom());
+ for(EvaluatedAxiom evAx : getCurrentlyBestEvaluatedAxioms(nrOfAxioms)){
+ bestAxioms.add(evAx.getAxiom());
}
return bestAxioms;
Modified: trunk/components-core/src/main/java/org/dllearner/core/owl/DisjointClassesAxiom.java
===================================================================
--- trunk/components-core/src/main/java/org/dllearner/core/owl/DisjointClassesAxiom.java 2011-08-18 09:22:41 UTC (rev 3068)
+++ trunk/components-core/src/main/java/org/dllearner/core/owl/DisjointClassesAxiom.java 2011-08-18 14:49:21 UTC (rev 3069)
@@ -19,6 +19,7 @@
*/
package org.dllearner.core.owl;
+import java.util.Iterator;
import java.util.Map;
import java.util.Set;
@@ -52,12 +53,31 @@
* @see org.dllearner.core.owl.KBElement#toString(java.lang.String, java.util.Map)
*/
public String toString(String baseURI, Map<String, String> prefixes) {
- return "DisjointClasses()";
+ StringBuffer sb = new StringBuffer();
+ sb.append("DisjointClasses(");
+ Iterator<Description> it = descriptions.iterator();
+ while(it.hasNext()){
+ sb.append(it.next().toString());
+ if(it.hasNext()){
+ sb.append(", ");
+ }
+ }
+ sb.append(")");
+ return sb.toString();
}
public String toKBSyntaxString(String baseURI, Map<String, String> prefixes) {
- // TODO Auto-generated method stub
- throw new Error("DisjointClassesAxiom: Not implemented");
+ StringBuffer sb = new StringBuffer();
+ sb.append("DisjointClasses(");
+ Iterator<Description> it = descriptions.iterator();
+ while(it.hasNext()){
+ sb.append(it.next().toKBSyntaxString());
+ if(it.hasNext()){
+ sb.append(", ");
+ }
+ }
+ sb.append(")");
+ return sb.toString();
}
@@ -83,7 +103,17 @@
*/
@Override
public String toManchesterSyntaxString(String baseURI, Map<String, String> prefixes) {
- return "DISJOINT_CLASSES_AXIOM NOT IMPLEMENTED";
+ StringBuffer sb = new StringBuffer();
+ sb.append("DisjointClasses(");
+ Iterator<Description> it = descriptions.iterator();
+ while(it.hasNext()){
+ sb.append(it.next().toManchesterSyntaxString(baseURI, prefixes));
+ if(it.hasNext()){
+ sb.append(", ");
+ }
+ }
+ sb.append(")");
+ return sb.toString();
}
}
Added: trunk/components-core/src/main/java/org/dllearner/utilities/owl/OWL2SPARULConverter.java
===================================================================
--- trunk/components-core/src/main/java/org/dllearner/utilities/owl/OWL2SPARULConverter.java (rev 0)
+++ trunk/components-core/src/main/java/org/dllearner/utilities/owl/OWL2SPARULConverter.java 2011-08-18 14:49:21 UTC (rev 3069)
@@ -0,0 +1,102 @@
+package org.dllearner.utilities.owl;
+
+import java.util.Collection;
+import java.util.List;
+
+import org.coode.owlapi.rdf.model.AbstractTranslator;
+import org.coode.owlapi.rdf.model.RDFLiteralNode;
+import org.coode.owlapi.rdf.model.RDFNode;
+import org.coode.owlapi.rdf.model.RDFResourceNode;
+import org.semanticweb.owlapi.model.IRI;
+import org.semanticweb.owlapi.model.OWLAxiom;
+import org.semanticweb.owlapi.model.OWLLiteral;
+import org.semanticweb.owlapi.model.OWLOntology;
+import org.semanticweb.owlapi.model.OWLOntologyChange;
+import org.semanticweb.owlapi.model.OWLOntologyManager;
+import org.semanticweb.owlapi.model.RemoveAxiom;
+
+public class OWL2SPARULConverter
+ extends
+ AbstractTranslator<RDFNode, RDFResourceNode, RDFResourceNode, RDFLiteralNode> {
+ private StringBuilder sb;
+
+ public OWL2SPARULConverter(OWLOntologyManager manager,
+ OWLOntology ontology, boolean useStrongTyping) {
+ super(manager, ontology, useStrongTyping);
+ }
+
+ public OWL2SPARULConverter(OWLOntology ontology, boolean useStrongTyping) {
+ super(ontology.getOWLOntologyManager(), ontology, useStrongTyping);
+ }
+
+ public String convert(OWLOntology ontology) {
+ return convert(ontology, true);
+ }
+
+ public String convert(OWLOntology ontology, boolean add) {
+ return convert(ontology.getAxioms());
+ }
+
+ public String convert(Collection<OWLAxiom> axioms) {
+ return convert(axioms, true);
+ }
+
+ public String convert(Collection<OWLAxiom> axioms, boolean add) {
+ sb = new StringBuilder();
+ for (OWLAxiom ax : axioms) {
+ sb.append(add ? "INSERT DATA"
+ : "DELETE DATA");
+ sb.append("{");
+ ax.accept(this);
+ sb.append("}");
+ sb.append("\n");
+ }
+ return sb.toString();
+ }
+
+ public String translate(List<OWLOntologyChange> changes) {
+ sb = new StringBuilder();
+ for (OWLOntologyChange change : changes) {
+ sb.append(change instanceof RemoveAxiom ? "DELETE DATA"
+ : "INSERT DATA");
+ sb.append("{");
+ change.getAxiom().accept(this);
+ sb.append("}");
+ sb.append("\n");
+ }
+ return sb.toString();
+ }
+
+ @Override
+ protected void addTriple(RDFResourceNode subject, RDFResourceNode pred,
+ RDFNode object) {
+ sb.append(subject).append(" ").append(pred).append(" ").append(object);
+
+ }
+
+ @Override
+ protected RDFResourceNode getAnonymousNode(Object key) {
+ return new RDFResourceNode(System.identityHashCode(key));
+ }
+
+ @Override
+ protected RDFResourceNode getPredicateNode(IRI iri) {
+ return new RDFResourceNode(iri);
+ }
+
+ @Override
+ protected RDFResourceNode getResourceNode(IRI iri) {
+ return new RDFResourceNode(iri);
+ }
+
+ @Override
+ protected RDFLiteralNode getLiteralNode(OWLLiteral literal) {
+ if (literal.getDatatype() != null) {
+ return new RDFLiteralNode(literal.toString(), literal.getDatatype()
+ .getIRI());
+ } else {
+ return new RDFLiteralNode(literal.toString(), literal.getLang());
+ }
+
+ }
+}
Modified: trunk/interfaces/src/main/java/org/dllearner/cli/Enrichment.java
===================================================================
--- trunk/interfaces/src/main/java/org/dllearner/cli/Enrichment.java 2011-08-18 09:22:41 UTC (rev 3068)
+++ trunk/interfaces/src/main/java/org/dllearner/cli/Enrichment.java 2011-08-18 14:49:21 UTC (rev 3069)
@@ -21,6 +21,7 @@
import static java.util.Arrays.asList;
+import java.io.ByteArrayInputStream;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
@@ -127,6 +128,7 @@
import com.hp.hpl.jena.query.ResultSet;
import com.hp.hpl.jena.rdf.model.Model;
import com.hp.hpl.jena.rdf.model.ModelFactory;
+import com.hp.hpl.jena.rdf.model.Statement;
/**
* Command Line Interface for Enrichment.
@@ -495,7 +497,16 @@
algorithmRunInd, algorithmInd);
axioms.add(ax);
//add Parameters to algorithm run instance
- //TODO
+ OWLIndividual paramInd;
+ for(Entry<ConfigOption, String> entry : parameters.entrySet()){
+ paramInd = f.getOWLNamedIndividual(IRI.create(generateId()));
+ ax = f.getOWLClassAssertionAxiom(EnrichmentVocabulary.Parameter, paramInd);
+ axioms.add(ax);
+ ax = f.getOWLDataPropertyAssertionAxiom(EnrichmentVocabulary.parameterName, paramInd, entry.getKey().name());
+ axioms.add(ax);
+ ax = f.getOWLDataPropertyAssertionAxiom(EnrichmentVocabulary.parameterValue, paramInd, entry.getValue());
+ axioms.add(ax);
+ }
//add used input to algorithm run instance
try {
OWLNamedIndividual knowldegeBaseInd = f.getOWLNamedIndividual(IRI.create(ks.getEndpoint().getURL()));
@@ -561,10 +572,24 @@
}
}
+// private Model getModel(List<OWLAxiom> axioms) {
+// Model model = ModelFactory.createDefaultModel();
+// try {
+// Conversion.OWLAPIOntology2JenaModel(OWLManager.createOWLOntologyManager().createOntology(new HashSet<OWLAxiom>(axioms)), model);
+// } catch (OWLOntologyCreationException e) {
+// e.printStackTrace();
+// }
+// return model;
+// }
+
private Model getModel(List<OWLAxiom> axioms) {
Model model = ModelFactory.createDefaultModel();
try {
- Conversion.OWLAPIOntology2JenaModel(OWLManager.createOWLOntologyManager().createOntology(new HashSet<OWLAxiom>(axioms)), model);
+ OWLOntology ontology = OWLManager.createOWLOntologyManager().createOntology(new HashSet<OWLAxiom>(axioms));
+// String s = new org.aksw.commons.owlapi.StringConverter(ontology).toStringAsRDFXML();System.out.println(s);
+ String s = new org.aksw.commons.owlapi.StringConverter(ontology).toStringAsTurtle();System.out.println(s);
+ ByteArrayInputStream bs = new ByteArrayInputStream(s.getBytes());
+ model.read(bs, "", "TURTLE");
} catch (OWLOntologyCreationException e) {
e.printStackTrace();
}
@@ -695,6 +720,18 @@
axioms.addAll(e.toRDF(run.getAxioms(), run.getAlgorithm(), run.getParameters(), ks));
}
Model model = e.getModel(axioms);
+ for(Statement st : model.listStatements().toList()){
+ System.out.println("--------------------");
+// System.out.println(st);
+ if(st.getSubject().isResource()){
+ System.out.println(st.getSubject());
+ }
+ System.out.println(st.getPredicate());
+ if(st.getObject().isResource()){
+
+ }
+ System.out.println(st.getObject());
+ }
if(options.has("o")) {
model.write(new FileOutputStream(f));
} else {
Modified: trunk/scripts/src/main/java/org/dllearner/scripts/evaluation/EnrichmentEvaluation.java
===================================================================
--- trunk/scripts/src/main/java/org/dllearner/scripts/evaluation/EnrichmentEvaluation.java 2011-08-18 09:22:41 UTC (rev 3068)
+++ trunk/scripts/src/main/java/org/dllearner/scripts/evaluation/EnrichmentEvaluation.java 2011-08-18 14:49:21 UTC (rev 3069)
@@ -38,7 +38,11 @@
import java.util.Set;
import java.util.prefs.Preferences;
+import org.apache.log4j.FileAppender;
+import org.apache.log4j.Level;
import org.apache.log4j.Logger;
+import org.apache.log4j.SimpleLayout;
+import org.apache.velocity.context.EvaluateContext;
import org.dllearner.algorithms.DisjointClassesLearner;
import org.dllearner.algorithms.SimpleSubclassLearner;
import org.dllearner.algorithms.celoe.CELOE;
@@ -59,14 +63,17 @@
import org.dllearner.algorithms.properties.ObjectPropertyRangeAxiomLearner;
import org.dllearner.algorithms.properties.SymmetricObjectPropertyAxiomLearner;
import org.dllearner.algorithms.properties.TransitiveObjectPropertyAxiomLearner;
+import org.dllearner.core.AbstractCELA;
import org.dllearner.core.AnnComponentManager;
import org.dllearner.core.AxiomLearningAlgorithm;
import org.dllearner.core.ComponentInitException;
import org.dllearner.core.ComponentManager;
import org.dllearner.core.EvaluatedAxiom;
+import org.dllearner.core.EvaluatedDescription;
import org.dllearner.core.LearningAlgorithm;
import org.dllearner.core.config.ConfigHelper;
import org.dllearner.core.owl.DatatypeProperty;
+import org.dllearner.core.owl.NamedClass;
import org.dllearner.core.owl.ObjectProperty;
import org.dllearner.kb.SparqlEndpointKS;
import org.dllearner.kb.sparql.SPARQLTasks;
@@ -94,9 +101,9 @@
private int nrOfAxiomsToLearn = 10;
// can be used to only evaluate a part of DBpedia
- private int maxObjectProperties = 10;
- private int maxDataProperties = 10;
- private int maxClasses = 10;
+ private int maxObjectProperties = 0;
+ private int maxDataProperties = 0;
+ private int maxClasses = 0;
private List<Class<? extends AxiomLearningAlgorithm>> objectPropertyAlgorithms;
private List<Class<? extends AxiomLearningAlgorithm>> dataPropertyAlgorithms;
private List<Class<? extends LearningAlgorithm>> classAlgorithms;
@@ -135,9 +142,9 @@
dataPropertyAlgorithms.add(SubDataPropertyOfAxiomLearner.class);
classAlgorithms = new LinkedList<Class<? extends LearningAlgorithm>>();
- classAlgorithms.add(DisjointClassesLearner.class);
+// classAlgorithms.add(DisjointClassesLearner.class);
classAlgorithms.add(SimpleSubclassLearner.class);
- classAlgorithms.add(CELOE.class);
+// classAlgorithms.add(CELOE.class);
initDBConnection();
}
@@ -196,7 +203,7 @@
IllegalAccessException, InvocationTargetException, NoSuchMethodException,
ComponentInitException {
long overallStartTime = System.currentTimeMillis();
- ComponentManager cm = ComponentManager.getInstance();
+// ComponentManager cm = ComponentManager.getInstance();
// create DBpedia Live knowledge source
SparqlEndpoint se = SparqlEndpoint.getEndpointDBpediaLiveAKSW();
@@ -206,8 +213,10 @@
evaluateObjectProperties(ks);
-// evaluateDataProperties(ks);
+ evaluateDataProperties(ks);
+ evaluateClasses(ks);
+
System.out.println("Overall runtime: " + (System.currentTimeMillis()-overallStartTime)/1000 + "s.");
}
@@ -217,50 +226,58 @@
for (Class<? extends AxiomLearningAlgorithm> algorithmClass : objectPropertyAlgorithms) {
int objectProperties = 0;
- for (ObjectProperty property : properties) {
-
- // dynamically invoke constructor with SPARQL knowledge source
- AxiomLearningAlgorithm learner = algorithmClass.getConstructor(
- SparqlEndpointKS.class).newInstance(ks);
- ConfigHelper.configure(learner, "propertyToDescribe", property.toString());
- ConfigHelper.configure(learner, "maxExecutionTimeInSeconds",
- maxExecutionTimeInSeconds);
- learner.init();
- // learner.setPropertyToDescribe(property);
- // learner.setMaxExecutionTimeInSeconds(10);
- String algName = AnnComponentManager.getName(learner);
- System.out.println("Applying " + algName + " on " + property + " ... ");
- long startTime = System.currentTimeMillis();
- boolean timeout = false;
- try {
- learner.start();
- } catch (Exception e) {
- if(e.getCause() instanceof SocketTimeoutException){
- timeout = true;
- }
- }
- long runTime = System.currentTimeMillis() - startTime;
- List<EvaluatedAxiom> learnedAxioms = learner
- .getCurrentlyBestEvaluatedAxioms(nrOfAxiomsToLearn);
- if(timeout){
- writeToDB(property.toManchesterSyntaxString(baseURI, prefixes), algName, "TIMEOUT", 0, runTime);
- } else if (learnedAxioms == null || learnedAxioms.isEmpty()) {
- writeToDB(property.toManchesterSyntaxString(baseURI, prefixes), algName, "NULL", 0, runTime);
- } else {
- for (EvaluatedAxiom learnedAxiom : learnedAxioms) {
- double score = learnedAxiom.getScore().getAccuracy();
- if (Double.isNaN(score)) {
- score = -1;
+
+ String algName = "";
+ for (ObjectProperty property : properties) {
+
+ try {
+ // dynamically invoke constructor with SPARQL knowledge source
+ AxiomLearningAlgorithm learner = algorithmClass.getConstructor(
+ SparqlEndpointKS.class).newInstance(ks);
+ ConfigHelper.configure(learner, "propertyToDescribe", property.toString());
+ ConfigHelper.configure(learner, "maxExecutionTimeInSeconds",
+ maxExecutionTimeInSeconds);
+ learner.init();
+ // learner.setPropertyToDescribe(property);
+ // learner.setMaxExecutionTimeInSeconds(10);
+ algName = AnnComponentManager.getName(learner);
+ System.out.println("Applying " + algName + " on " + property + " ... ");
+ long startTime = System.currentTimeMillis();
+ boolean timeout = false;
+ try {
+ learner.start();
+ } catch (Exception e) {
+ if(e.getCause() instanceof SocketTimeoutException){
+ timeout = true;throw e;
+ }
}
- writeToDB(property.toManchesterSyntaxString(baseURI, prefixes) .toString(), algName, learnedAxiom.getAxiom().toManchesterSyntaxString(baseURI, prefixes),
- score, runTime);
+ long runTime = System.currentTimeMillis() - startTime;
+ List<EvaluatedAxiom> learnedAxioms = learner
+ .getCurrentlyBestEvaluatedAxioms(nrOfAxiomsToLearn);
+ if(timeout){
+ writeToDB(property.toManchesterSyntaxString(baseURI, prefixes), algName, "TIMEOUT", 0, runTime);
+ } else if (learnedAxioms == null || learnedAxioms.isEmpty()) {
+ writeToDB(property.toManchesterSyntaxString(baseURI, prefixes), algName, "NULL", 0, runTime);
+ } else {
+ for (EvaluatedAxiom learnedAxiom : learnedAxioms) {
+ double score = learnedAxiom.getScore().getAccuracy();
+ if (Double.isNaN(score)) {
+ score = -1;
+ }
+ writeToDB(property.toManchesterSyntaxString(baseURI, prefixes) .toString(), algName, learnedAxiom.getAxiom().toManchesterSyntaxString(baseURI, prefixes),
+ score, runTime);
+ }
+ }
+ objectProperties++;
+ if (maxObjectProperties != 0 && objectProperties > maxObjectProperties) {
+ break;
+ }
+
+ } catch (Exception e) {
+ logger.error("Error occured for object property " + property.getName() + " with algorithm " + algName , e);
}
}
- objectProperties++;
- if (maxObjectProperties != 0 && objectProperties > maxObjectProperties) {
- break;
- }
- }
+
}
}
@@ -269,8 +286,11 @@
for (Class<? extends AxiomLearningAlgorithm> algorithmClass : dataPropertyAlgorithms) {
int dataProperties = 0;
+
+ String algName = "";
for (DatatypeProperty property : properties) {
+ try{
// dynamically invoke constructor with SPARQL knowledge source
AxiomLearningAlgorithm learner = algorithmClass.getConstructor(
SparqlEndpointKS.class).newInstance(ks);
@@ -280,7 +300,7 @@
learner.init();
// learner.setPropertyToDescribe(property);
// learner.setMaxExecutionTimeInSeconds(10);
- String algName = AnnComponentManager.getName(learner);
+ algName = AnnComponentManager.getName(learner);
System.out.println("Applying " + algName + " on " + property + " ... ");
long startTime = System.currentTimeMillis();
boolean timeout = false;
@@ -312,10 +332,76 @@
if (maxDataProperties != 0 && dataProperties > maxDataProperties) {
break;
}
+
+ } catch (Exception e) {
+ logger.error("Error occured for data property " + property.getName() + " with algorithm " + algName , e);
}
+ }
}
}
+
+ private void evaluateClasses(SparqlEndpointKS ks) throws IllegalArgumentException, SecurityException, InstantiationException, IllegalAccessException, InvocationTargetException, NoSuchMethodException, ComponentInitException{
+ Set<NamedClass> classes = new SPARQLTasks(ks.getEndpoint()).getAllClasses();
+ for (Class<? extends LearningAlgorithm> algorithmClass : classAlgorithms) {
+ int classesCnt = 0;
+ for (NamedClass cls : classes) {
+
+ try{
+ // dynamically invoke constructor with SPARQL knowledge source
+ LearningAlgorithm learner = algorithmClass.getConstructor(
+ SparqlEndpointKS.class).newInstance(ks);
+ ConfigHelper.configure(learner, "classToDescribe", cls.toString());
+ ConfigHelper.configure(learner, "maxExecutionTimeInSeconds",
+ maxExecutionTimeInSeconds);
+ learner.init();
+ // learner.setPropertyToDescribe(property);
+ // learner.setMaxExecutionTimeInSeconds(10);
+ String algName = AnnComponentManager.getName(learner);
+ System.out.println("Applying " + algName + " on " + cls + " ... ");
+ long startTime = System.currentTimeMillis();
+ boolean timeout = false;
+ try {
+ learner.start();
+ } catch (Exception e) {
+ if(e.getCause() instanceof SocketTimeoutException){
+ timeout = true;
+ }
+ }
+ long runTime = System.currentTimeMillis() - startTime;
+ if(learner instanceof AxiomLearningAlgorithm){
+ List<EvaluatedAxiom> learnedAxioms = ((AxiomLearningAlgorithm)learner)
+ .getCurrentlyBestEvaluatedAxioms(nrOfAxiomsToLearn);
+ if(timeout){
+ writeToDB(cls.toManchesterSyntaxString(baseURI, prefixes), algName, "TIMEOUT", 0, runTime);
+ } else if (learnedAxioms == null || learnedAxioms.isEmpty()) {
+ writeToDB(cls.toManchesterSyntaxString(baseURI, prefixes), algName, "NULL", 0, runTime);
+ } else {
+ for (EvaluatedAxiom learnedAxiom : learnedAxioms) {
+ double score = learnedAxiom.getScore().getAccuracy();
+ if (Double.isNaN(score)) {
+ score = -1;
+ }
+ writeToDB(cls.toManchesterSyntaxString(baseURI, prefixes) .toString(), algName, learnedAxiom.getAxiom().toManchesterSyntaxString(baseURI, prefixes),
+ score, runTime);
+ }
+ }
+ } else if(learner instanceof AbstractCELA){
+
+ }
+
+ classesCnt++;
+ if (maxClasses != 0 && classesCnt > maxClasses) {
+ break;
+ }
+
+ } catch(Exception e){
+ logger.error("Error occured for class " + cls.getName(), e);
+ }
+ }
+ }
+ }
+
public void printResultsPlain() {
}
@@ -357,11 +443,15 @@
public static void main(String[] args) throws IllegalArgumentException, SecurityException,
InstantiationException, IllegalAccessException, InvocationTargetException,
- NoSuchMethodException, ComponentInitException, SQLException {
+ NoSuchMethodException, ComponentInitException, SQLException, IOException {
EnrichmentEvaluation ee = new EnrichmentEvaluation();
ee.start();
// ee.printResultsPlain();
Files.createFile(new File("enrichment_eval.html"), ee.printHTMLTable());
+ FileAppender app = new FileAppender(new SimpleLayout(), "log/enrichmentEvalErrors.log");
+ Logger.getRootLogger().setLevel(Level.ERROR);
+ Logger.getRootLogger().removeAllAppenders();
+ Logger.getRootLogger().addAppender(app);
}
}
Added: trunk/scripts/src/main/resources/log4j.properties
===================================================================
--- trunk/scripts/src/main/resources/log4j.properties (rev 0)
+++ trunk/scripts/src/main/resources/log4j.properties 2011-08-18 14:49:21 UTC (rev 3069)
@@ -0,0 +1,9 @@
+log4j.appender.A1=org.apache.log4j.RollingFileAppender
+log4j.appender.A1.File=log/errors.log
+log4j.appender.A1.layout=org.apache.log4j.PatternLayout
+
+log4j.appender.A2=org.apache.log4j.RollingFileAppender
+log4j.appender.A2.File=log/queries.log
+log4j.appender.A2.layout=org.apache.log4j.PatternLayout
+
+log4j.rootLogger=ERROR,A1
\ No newline at end of file
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