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[DL-Learner SVN] SF.net SVN: dl-learner:[1070] trunk/src/dl-learner/org/dllearner/tools/ protege
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From: <hee...@us...> - 2008-08-14 12:07:47
|
Revision: 1070
http://dl-learner.svn.sourceforge.net/dl-learner/?rev=1070&view=rev
Author: heeroyuy
Date: 2008-08-14 12:07:43 +0000 (Thu, 14 Aug 2008)
Log Message:
-----------
-added feature to get more details on the selected concept when doubleclick it
-small change in detail panel
-java doc
Modified Paths:
--------------
trunk/src/dl-learner/org/dllearner/tools/protege/ActionHandler.java
trunk/src/dl-learner/org/dllearner/tools/protege/ButtonList.java
trunk/src/dl-learner/org/dllearner/tools/protege/DLLearnerModel.java
trunk/src/dl-learner/org/dllearner/tools/protege/META-INF/MANIFEST.MF
trunk/src/dl-learner/org/dllearner/tools/protege/META-INF/plugin.xml
trunk/src/dl-learner/org/dllearner/tools/protege/MoreDetailForSuggestedConceptsPanel.java
trunk/src/dl-learner/org/dllearner/tools/protege/OWLClassDescriptionEditorWithDLLearnerTab.java
trunk/src/dl-learner/org/dllearner/tools/protege/OWLEquivalentClassesAxiomFrameSection.java
trunk/src/dl-learner/org/dllearner/tools/protege/OWLSubClassAxiomFrameSection.java
trunk/src/dl-learner/org/dllearner/tools/protege/PosAndNegSelectPanel.java
trunk/src/dl-learner/org/dllearner/tools/protege/ProtegePlugin.java
trunk/src/dl-learner/org/dllearner/tools/protege/SuggestClassPanel.java
Modified: trunk/src/dl-learner/org/dllearner/tools/protege/ActionHandler.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/tools/protege/ActionHandler.java 2008-08-14 09:50:45 UTC (rev 1069)
+++ trunk/src/dl-learner/org/dllearner/tools/protege/ActionHandler.java 2008-08-14 12:07:43 UTC (rev 1070)
@@ -1,92 +1,120 @@
+/**
+ * Copyright (C) 2007-2008, Jens Lehmann
+ *
+ * This file is part of DL-Learner.
+ *
+ * DL-Learner is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation; either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * DL-Learner is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with this program. If not, see <http://www.gnu.org/licenses/>.
+ *
+ */
package org.dllearner.tools.protege;
+import java.awt.event.ActionEvent;
import java.awt.event.ActionListener;
+import java.awt.event.ItemEvent;
import java.awt.event.ItemListener;
+import java.awt.event.MouseEvent;
import java.awt.event.MouseListener;
-import java.awt.event.ActionEvent;
-import java.awt.event.ItemEvent;
-import java.awt.event.MouseEvent;
+import java.util.Iterator;
+
+import javax.swing.event.ListSelectionEvent;
import javax.swing.event.ListSelectionListener;
-import javax.swing.event.ListSelectionEvent;
+import org.dllearner.core.EvaluatedDescription;
import org.dllearner.core.owl.Description;
+import org.protege.editor.owl.OWLEditorKit;
/**
+ * This class processes input from the user.
+ * @author Christian Koetteritzsch
*
- * @author Heero Yuy
- *
*/
-public class ActionHandler implements ActionListener, ItemListener, MouseListener, ListSelectionListener{
- /**
- * This is the DLLearnerModel.
- */
+public class ActionHandler implements ActionListener, ItemListener,
+ MouseListener, ListSelectionListener {
+
+ // This is the DLLearnerModel.
+
private DLLearnerModel model;
- /**
- * This is the id that checks if the equivalent class or subclass button is
- * pressed in protege
- */
+ private OWLEditorKit editorKit;
+
+ // This is the id that checks if the equivalent class or subclass button is
+ // pressed in protege
private String id;
- /**
- * this is a boolean that checked if the advanced button was pressed or not.
- */
+ // this is a boolean that checked if the advanced button was pressed or not.
private boolean toggled;
- /**
- * This is the Tread of the DL-Learner
- */
+ // This is the Tread of the DL-Learner
private Thread dlLearner;
- /**
- * This is the view of the DL-Learner tab.
- */
+ private EvaluatedDescription evaluatedDescription;
+ // This is the view of the DL-Learner tab.
private OWLClassDescriptionEditorWithDLLearnerTab.DLLearnerView view;
+ private int counter;
+ private EvaluatedDescription oldEvaluatedDescription;
/**
- * This is the constructor for the action handler
- * @param a ActionHandler
- * @param m DLLearnerModel
- * @param view DLlearner tab
- * @param i id if it is a subclass oran equivalent class
+ * This is the constructor for the action handler.
+ *
+ * @param a
+ * ActionHandler
+ * @param m
+ * DLLearnerModel
+ * @param view
+ * DLlearner tab
+ * @param i
+ * id if it is a subclass or an equivalent class
+ * @param editor OWLEditorKit
*/
- public ActionHandler(ActionHandler a,DLLearnerModel m,OWLClassDescriptionEditorWithDLLearnerTab.DLLearnerView view ,String i)
- {
- this.view = view;
- this.id=i;
+ public ActionHandler(ActionHandler a, DLLearnerModel m,
+ OWLClassDescriptionEditorWithDLLearnerTab.DLLearnerView view,
+ String i, OWLEditorKit editor) {
+ this.editorKit = editor;
+ this.view = view;
+ this.id = i;
+ counter = 0;
this.model = m;
toggled = false;
-
-
+
}
+
/**
- *
+ * When a Button is pressed this method select the right.
+ * @param z ActionEvent
*/
- public void actionPerformed(ActionEvent z){
-
- if(z.getActionCommand().equals("Suggest "+id))
- {
- if(model.getAlreadyLearned()==true)
- {
+ public void actionPerformed(ActionEvent z) {
+
+ if (z.getActionCommand().equals("Suggest " + id)) {
+ if (model.getAlreadyLearned()) {
model.unsetListModel();
}
- if(view.getPosAndNegSelectPanel().getPosAndNegSelectPanel().getComponentCount()<=2)
- {
- view.renderErrorMessage("Could not start learning. No Examples where available");
+ if (view.getPosAndNegSelectPanel().getPosAndNegSelectPanel()
+ .getComponentCount() <= 2) {
+ view
+ .renderErrorMessage("Could not start learning. No Examples where available");
+ } else {
+ model.setKnowledgeSource();
+ model.setReasoner();
+ model.setPositiveAndNegativeExamples();
+ model.setLearningProblem();
+ model.setLearningAlgorithm();
+ this.dlLearner = new Thread(model);
+ dlLearner.start();
+ view.getRunButton().setEnabled(false);
+ view.getCancelButton().setEnabled(true);
+ view.renderErrorMessage("Learning started");
+ view.getPosAndNegSelectPanel().unsetCheckBoxes();
}
- else{
- model.setKnowledgeSource();
- model.setReasoner();
- model.setPositiveAndNegativeExamples();
- model.setLearningProblem();
- model.setLearningAlgorithm();
- this.dlLearner = new Thread(model);
- dlLearner.start();
- view.getRunButton().setEnabled(false);
- view.getCancelButton().setEnabled(true);
- view.renderErrorMessage("Learning started");
- view.getPosAndNegSelectPanel().unsetCheckBoxes();
- }
}
-
- if(z.getActionCommand().equals("Cancel"))
- {
+
+ if (z.getActionCommand().equals("Cancel")) {
view.getRunButton().setEnabled(true);
view.getCancelButton().setEnabled(false);
String error = "Learning aborted";
@@ -95,96 +123,89 @@
model.getLearningAlgorithm().stop();
model.setErrorMessage(error);
}
-
- if(z.getActionCommand().equals("ADD"))
- {
- model.changeDLLearnerDescriptionsToOWLDescriptions((Description)view.getSuggestClassPanel().getSuggestList().getSelectedValue());
- String message ="Concept added";
+
+ if (z.getActionCommand().equals("ADD")) {
+ if (evaluatedDescription != null) {
+ model
+ .changeDLLearnerDescriptionsToOWLDescriptions(evaluatedDescription
+ .getDescription());
+ } else {
+ model
+ .changeDLLearnerDescriptionsToOWLDescriptions((Description) view
+ .getSuggestClassPanel().getSuggestList()
+ .getSelectedValue());
+ }
+ String message = "Concept added";
view.renderErrorMessage(message);
}
-
- if(z.getActionCommand().equals("?"))
- {
- if(z.getSource().toString().contains("PosHelpButton"))
- {
- String hilfe="A Instance that follows from the classdescription.\nPer Default all that belongs to the class.";
- view.getPosAndNegSelectPanel().renderHelpMessage(hilfe);
+
+ if (z.getActionCommand().equals("?")) {
+ if (z.getSource().toString().contains("PosHelpButton")) {
+ String help = "A Instance that follows from the classdescription.\nPer Default all that belongs to the class.";
+ view.getPosAndNegSelectPanel().renderHelpMessage(help);
}
-
- if(z.getSource().toString().contains("NegHelpButton"))
- {
- String hilfe="A Instance tht doesn't follow from the classdescription.";
- view.getPosAndNegSelectPanel().renderHelpMessage(hilfe);
+
+ if (z.getSource().toString().contains("NegHelpButton")) {
+ String help = "A Instance tht doesn't follow from the classdescription.";
+ view.getPosAndNegSelectPanel().renderHelpMessage(help);
}
-
-
+
}
- if(z.getActionCommand().equals(""))
- {
- if(!toggled==true)
- {
- toggled=true;
+ if (z.getActionCommand().equals("")) {
+ if (!toggled) {
+ toggled = true;
view.setIconToggled(toggled);
view.setExamplePanelVisible(toggled);
- }
- else
- {
- toggled=false;
+ } else {
+ toggled = false;
view.setIconToggled(toggled);
view.setExamplePanelVisible(toggled);
}
}
- if(z.getActionCommand().equals("Why"))
- {
- view.getMoreDetailForSuggestedConceptsPanel().renderDetailPanel((Description)view.getSuggestClassPanel().getSuggestList().getSelectedValue());
+ if (z.getActionCommand().equals("Why")) {
+ view.getMoreDetailForSuggestedConceptsPanel().renderDetailPanel(
+ evaluatedDescription);
}
}
-
- /**
+
+ /**
*
- * @return
+ * @return id StringID if it is a Subclass or an equivalent class.
*/
- public String getID()
- {
+ public String getID() {
return id;
}
+
+
/**
- *
+ * select/deselect the Check boxes.
+ * @param i ItemEvent
*/
- public void itemStateChanged(ItemEvent i)
- {
- if(i.getItem().toString().contains("Positive"))
- {
- for(int j = 0;j < model.getPosVector().size(); j++)
- {
- if(i.getItem().toString().contains(model.getPosVector().get(j).getText().toString()))
- {
- if(!model.getPosVector().get(j).isSelected())
- {
+ public void itemStateChanged(ItemEvent i) {
+ if (i.getItem().toString().contains("Positive")) {
+ for (int j = 0; j < model.getPosVector().size(); j++) {
+ if (i.getItem().toString().contains(
+ model.getPosVector().get(j).getText().toString())) {
+ if (!model.getPosVector().get(j).isSelected()) {
model.getPosVector().get(j).setSelected(true);
break;
}
- if(model.getPosVector().get(j).isSelected())
- {
+ if (model.getPosVector().get(j).isSelected()) {
model.getPosVector().get(j).setSelected(false);
break;
}
}
}
}
- if(i.getItem().toString().contains("Negative"))
- {
- for(int j = 0;j < model.getNegVector().size(); j++)
- {
- if(i.getItem().toString().contains(model.getNegVector().get(j).getText().toString()))
- {
- if(!model.getNegVector().get(j).isSelected())
- {
+ if (i.getItem().toString().contains("Negative")) {
+ for (int j = 0; j < model.getNegVector().size(); j++) {
+ if (i.getItem().toString().contains(
+ model.getNegVector().get(j).getText().toString())) {
+ if (!model.getNegVector().get(j).isSelected()) {
model.getNegVector().get(j).setSelected(true);
break;
}
- if(model.getNegVector().get(j).isSelected())
- {
+ if (model.getNegVector().get(j).isSelected()) {
model.getNegVector().get(j).setSelected(false);
break;
}
@@ -193,61 +214,101 @@
}
}
- public void valueChanged(ListSelectionEvent e)
- {
-
- }
/**
- *
+ * Nothing happens here.
+ * @param e ListSelectionEvent
*/
- public void mouseReleased(MouseEvent m)
- {
-
+ public void valueChanged(ListSelectionEvent e) {
+
}
+
/**
- *
+ * Nothing happens here.
+ * @param m MouseEvent
*/
- public void mouseEntered(MouseEvent m)
- {
-
+ public void mouseReleased(MouseEvent m) {
+
}
+
+ /**
+ * Nothing happens here.
+ * @param m MouseEvent
+ */
+ public void mouseEntered(MouseEvent m) {
+
+ }
+
/**
- *
+ * Choses the right EvaluatedDescription object after a concept is chosen in the list.
+ * @param m MouseEvent
*/
- public void mouseClicked(MouseEvent m)
- {
-
+ public void mouseClicked(MouseEvent m) {
+ EvaluatedDescription eDescription = null;
+ oldEvaluatedDescription = evaluatedDescription;
+ String desc = view.getSuggestClassPanel().getSuggestList()
+ .getSelectedValue().toString();
+ if (model.getEvaluatedDescriptionList() != null) {
+ for (Iterator<EvaluatedDescription> i = model
+ .getEvaluatedDescriptionList().iterator(); i.hasNext();) {
+ eDescription = i.next();
+ if (desc.equals(eDescription.getDescription()
+ .toManchesterSyntaxString(
+ editorKit.getOWLModelManager()
+ .getActiveOntology().getURI()
+ + "#", null))) {
+ evaluatedDescription = eDescription;
+ break;
+ }
+
+ }
+ }
+ System.out.println("old: " + oldEvaluatedDescription);
+ if (oldEvaluatedDescription != null) {
+
+ if (oldEvaluatedDescription != evaluatedDescription) {
+ counter = 0;
+ }
+ counter++;
+ } else {
+ counter++;
+ }
+ if (counter == 2) {
+ counter = 0;
+ view.getMoreDetailForSuggestedConceptsPanel().renderDetailPanel(
+ evaluatedDescription);
+ }
+ System.out.println("Counter: " + counter);
}
+
/**
- *
+ * Nothing happens here.
+ * @param m MouseEvent
*/
- public void mouseExited(MouseEvent m)
- {
-
+ public void mouseExited(MouseEvent m) {
+
}
+
/**
- *
+ * Sets the ADD button enable after a concept is chosen.
+ * @param m MouseEvent
*/
- public void mousePressed(MouseEvent m)
- {
- if(!view.getAddButton().isEnabled())
- {
+ public void mousePressed(MouseEvent m) {
+ if (!view.getAddButton().isEnabled()) {
view.getAddButton().setEnabled(true);
}
}
/**
- *
+ * Destroys the Thread after the Pluigin is closed.
*/
- public void destroyDLLearnerThread()
- {
- dlLearner =null;
+ public void destroyDLLearnerThread() {
+ dlLearner = null;
}
+
/**
- *
+ * Resets the toggled Button after the plugin is closed.
*/
- public void resetToggled()
- {
+ public void resetToggled() {
toggled = false;
}
Modified: trunk/src/dl-learner/org/dllearner/tools/protege/ButtonList.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/tools/protege/ButtonList.java 2008-08-14 09:50:45 UTC (rev 1069)
+++ trunk/src/dl-learner/org/dllearner/tools/protege/ButtonList.java 2008-08-14 12:07:43 UTC (rev 1070)
@@ -1,3 +1,22 @@
+/**
+ * Copyright (C) 2007-2008, Jens Lehmann
+ *
+ * This file is part of DL-Learner.
+ *
+ * DL-Learner is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation; either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * DL-Learner is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with this program. If not, see <http://www.gnu.org/licenses/>.
+ *
+ */
package org.dllearner.tools.protege;
import org.protege.editor.owl.ui.frame.AbstractOWLFrame;
@@ -7,15 +26,32 @@
import org.semanticweb.owl.model.OWLClass;
import org.protege.editor.owl.OWLEditorKit;
-public class ButtonList extends AbstractOWLFrame<OWLClass>{
-
- public ButtonList(OWLEditorKit editorKit)
- {
+/**
+ * This class manages the list of the lists for equivalent classes and so on.
+ * This is necessary to implement the dllearner plugin in the
+ * OWLClassDescriptionEditor.
+ *
+ * @author Christian Koetteritzsch
+ *
+ */
+public class ButtonList extends AbstractOWLFrame<OWLClass> {
+ /**
+ * Construktor of the Buttonlist.
+ *
+ * @param editorKit EditorKit from Protege
+ */
+ public ButtonList(OWLEditorKit editorKit) {
super(editorKit.getOWLModelManager().getOWLOntologyManager());
- addSection(new OWLEquivalentClassesAxiomFrameSection(editorKit, this));
- addSection(new OWLSubClassAxiomFrameSection(editorKit, this));
- addSection(new InheritedAnonymousClassesFrameSection(editorKit, this));
- addSection(new OWLClassAssertionAxiomIndividualSection(editorKit, this));
- addSection(new OWLDisjointClassesAxiomFrameSection(editorKit, this));
+ // own OWLEquivalentClassesAxiomFrameSection to add the dllearner plugin
+ // to the
+ // OWLClassDescritpionEditor
+ addSection(new OWLEquivalentClassesAxiomFrameSection(editorKit, this));
+ // own OWLEquivalentClassesAxiomFrameSection to add the dllearner plugin
+ // to the
+ // OWLClassDescritpionEditor
+ addSection(new OWLSubClassAxiomFrameSection(editorKit, this));
+ addSection(new InheritedAnonymousClassesFrameSection(editorKit, this));
+ addSection(new OWLClassAssertionAxiomIndividualSection(editorKit, this));
+ addSection(new OWLDisjointClassesAxiomFrameSection(editorKit, this));
}
}
Modified: trunk/src/dl-learner/org/dllearner/tools/protege/DLLearnerModel.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/tools/protege/DLLearnerModel.java 2008-08-14 09:50:45 UTC (rev 1069)
+++ trunk/src/dl-learner/org/dllearner/tools/protege/DLLearnerModel.java 2008-08-14 12:07:43 UTC (rev 1070)
@@ -1,197 +1,232 @@
+/**
+ * Copyright (C) 2007-2008, Jens Lehmann
+ *
+ * This file is part of DL-Learner.
+ *
+ * DL-Learner is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation; either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * DL-Learner is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with this program. If not, see <http://www.gnu.org/licenses/>.
+ *
+ */
+
package org.dllearner.tools.protege;
+import java.net.URI;
+import java.util.HashSet;
+import java.util.Iterator;
+import java.util.List;
import java.util.Set;
+import java.util.SortedSet;
import java.util.TreeSet;
-import java.util.List;
import java.util.Vector;
-import java.util.HashSet;
-import java.util.Iterator;
-import java.util.SortedSet;
import javax.swing.DefaultListModel;
import javax.swing.JCheckBox;
-import org.dllearner.algorithms.refinement.ROLearner;
import org.dllearner.algorithms.SimpleSuggestionLearningAlgorithm;
-
-import org.dllearner.core.owl.Description;
+import org.dllearner.algorithms.refexamples.ExampleBasedROLComponent;
+import org.dllearner.core.ComponentInitException;
+import org.dllearner.core.ComponentManager;
+import org.dllearner.core.EvaluatedDescription;
import org.dllearner.core.KnowledgeSource;
-import org.dllearner.core.EvaluatedDescription;
import org.dllearner.core.LearningAlgorithm;
import org.dllearner.core.LearningProblem;
-import org.dllearner.core.ComponentManager;
-import org.dllearner.core.ComponentInitException;
import org.dllearner.core.LearningProblemUnsupportedException;
import org.dllearner.core.ReasoningService;
-
+import org.dllearner.core.owl.Description;
import org.dllearner.core.owl.Individual;
import org.dllearner.core.owl.NamedClass;
-
import org.dllearner.kb.OWLAPIOntology;
-
+import org.dllearner.learningproblems.PosNegDefinitionLP;
import org.dllearner.learningproblems.PosNegInclusionLP;
-import org.dllearner.learningproblems.PosNegDefinitionLP;
-
import org.dllearner.reasoning.OWLAPIDescriptionConvertVisitor;
import org.dllearner.reasoning.OWLAPIReasoner;
-
+import org.jdesktop.swingx.JXTaskPane;
import org.protege.editor.owl.OWLEditorKit;
import org.protege.editor.owl.ui.frame.OWLFrame;
-
import org.semanticweb.owl.apibinding.OWLManager;
-import org.semanticweb.owl.model.OWLClass;
-import org.semanticweb.owl.model.OWLOntologyChangeException;
import org.semanticweb.owl.model.AddAxiom;
import org.semanticweb.owl.model.OWLAxiom;
+import org.semanticweb.owl.model.OWLClass;
import org.semanticweb.owl.model.OWLDataFactory;
+import org.semanticweb.owl.model.OWLDescription;
import org.semanticweb.owl.model.OWLOntology;
+import org.semanticweb.owl.model.OWLOntologyChangeException;
import org.semanticweb.owl.model.OWLOntologyManager;
-import org.semanticweb.owl.model.OWLDescription;
+/**
+ * This Class provides the necessary methods to learn Concepts from the
+ * DL-Learner.
+ *
+ * @author Christian Koetteritzsch
+ *
+ */
+public class DLLearnerModel implements Runnable {
+ // The Sting is for components that are available in the DL-Learner
+ private String[] componenten = { "org.dllearner.kb.OWLFile",
+ "org.dllearner.reasoning.OWLAPIReasoner",
+ "org.dllearner.reasoning.DIGReasoner",
+ "org.dllearner.reasoning.FastRetrievalReasoner",
+ "org.dllearner.learningproblems.PosNegInclusionLP",
+ "org.dllearner.learningproblems.PosNegDefinitionLP",
+ "org.dllearner.algorithms.RandomGuesser",
+ "org.dllearner.algorithms.BruteForceLearner",
+ "org.dllearner.algorithms.refinement.ROLearner",
+ "org.dllearner.algorithms.refexamples.ExampleBasedROLComponent",
+ "org.dllearner.algorithms.gp.GP" };
+ // This Vector stores the check boxes for the view.
-/**2
- * This Class provides the necessary methods to learn Concepts from the DL-Learner.
- * @author Heero Yuy
- *
- */
-public class DLLearnerModel implements Runnable{
- /**
- * The Sting is for components that are available in the DL-Learner
- */
- private String[] componenten={"org.dllearner.kb.OWLFile","org.dllearner.reasoning.OWLAPIReasoner",
- "org.dllearner.reasoning.DIGReasoner","org.dllearner.reasoning.FastRetrievalReasoner","org.dllearner.learningproblems.PosNegInclusionLP"
- ,"org.dllearner.learningproblems.PosNegDefinitionLP","org.dllearner.algorithms.RandomGuesser","org.dllearner.algorithms.BruteForceLearner","org.dllearner.algorithms.refinement.ROLearner","org.dllearner.algorithms.refexamples.ExampleBasedROLComponent","org.dllearner.algorithms.gp.GP"};
- /**
- * This Vector stores the check boxes for the view.
- */
private Vector<JCheckBox> positiv;
- /**
- * This Vector stores the negative Examples.
- */
+
+ // This Vector stores the negative Examples.
+
private Vector<JCheckBox> negativ;
- /**
- *
- */
+
+ // Component Manager that manages the components of the DL-Learner
+
private ComponentManager cm;
- /**
- *
- */
+
+ // The Reasoning Service for the Reasoner
+
private ReasoningService rs;
- /**
- *
- */
+
+ // The Knowledge source for the reasoner
+
private KnowledgeSource source;
- /**
- *
- */
+
+ // The View of the DL-Learner Plugin
+
private OWLClassDescriptionEditorWithDLLearnerTab.DLLearnerView view;
- /**
- * This is the count of Concepts which you get after learning
- */
- private static final int anzahl = 6;
- /**
- *
- */
+
+ // This is the count of Concepts which you get after learning
+
+ private static final int ANZAHL = 6;
+
+ // A Array of Concepts which the DL-Learner suggested
+
private Description[] description;
- /**
- *
- */
+
+ // The Learning problem that is used to learn new concepts
+
private LearningProblem lp;
- /**
- * This boolean is
- */
- private boolean alreadyLearned=false;
- /**
- *
- */
+
+ // This boolean is for clearing the suggest Panel
+
+ private boolean alreadyLearned = false;
+
+ // The Ontology which is currently used
+
private OWLOntology ontology;
- /**
- * This is the learning algorithm
- */
+
+ // This is the learning algorithm
+
private LearningAlgorithm la = null;
- /**
- *
- */
+
+ // Necessary to get the currently loaded Ontology
+
private OWLEditorKit editor;
- /**
- *
- */
- private OWLFrame<OWLClass> aktuell;
- /**
- *
- */
+
+ // Necessary to get the BaseUri of the currently loaded Ontology
+
+ private OWLFrame<OWLClass> current;
+
+ // The Reasoner which is used to learn
+
private OWLAPIReasoner reasoner;
- /**
- *
- */
- private Set<OWLDescription> OWLDescription;
- /**
- * This set stores the positive examples.
- */
+
+ // A Set of Descriptions in OWL Syntax which the DL-Learner suggested
+
+ private Set<OWLDescription> owlDescription;
+
+ // This set stores the positive examples.
+
private Set<String> positiveExamples;
- /**
- * This set stores the negative examples that doesn't belong to the concept.
- */
+
+ // This set stores the negative examples that doesn't belong to the concept.
+
private Set<String> negativeExamples;
- /**
- *
- */
+
+ // The most fitting Description in OWL Syntax which the DL-Learner suggested
+
private OWLDescription desc;
- /**
- *
- */
+
+ // String to distinguish between Equivalent classes and sub classes
+
private String id;
- /**
- *
- */
+
+ // The new Concept which is learned by the DL-Learner
+
private OWLDescription newConceptOWLAPI;
- /**
- *
- */
+
+ // The old concept that is chosen in Protege
+
private OWLDescription oldConceptOWLAPI;
- /**
- *
- */
+
+ // A Set of Descriptions in OWL Syntax which the DL-Learner suggested
+
private Set<OWLDescription> ds;
- /**
- *
- */
+
+ // The model for the suggested Descriptions
+
private DefaultListModel suggestModel;
- /**
- *
- */
+
+ // The Individuals of the Ontology
+
private Set<Individual> individual;
- /**
- *
- */
+
+ // This is a simple learning algorithm to get the first concepts before
+ // learning
+
private SimpleSuggestionLearningAlgorithm test;
- /**
- *
- */
+
+ // The error message which is rendered when an error occured
+
private String error;
- /**
- *
- */
+
+ // This is the new axiom which will be added to the Ontology
+
private OWLAxiom axiomOWLAPI;
-
+
+ // This is necessary to get the details of the suggested concept
+
+ private JXTaskPane detailPane;
+
+ // This is a List of evaluated descriptions to get more information of the
+ // suggested concept
private List<EvaluatedDescription> evalDescription;
+
/**
- * This is the constructor for DL-Learner model
+ * This is the constructor for DL-Learner model.
+ *
* @param editorKit
+ * Editor Kit to get the currently loaded Ontology
* @param h
- * @param id String if it learns a subclass or a superclass.
- * @param view current view of the DL-Learner tab
+ * OWLFrame(OWLClass) to get the base uri of the Ontology
+ * @param id
+ * String if it learns a subclass or a superclass.
+ * @param view
+ * current view of the DL-Learner tab
*/
- public DLLearnerModel(OWLEditorKit editorKit, OWLFrame<OWLClass> h,String id,OWLClassDescriptionEditorWithDLLearnerTab.DLLearnerView view)
- {
- editor=editorKit;
- aktuell=h;
- this.id=id;
- this.view=view;
- OWLDescription = new HashSet<OWLDescription>();
+ public DLLearnerModel(OWLEditorKit editorKit, OWLFrame<OWLClass> h,
+ String id,
+ OWLClassDescriptionEditorWithDLLearnerTab.DLLearnerView view) {
+ editor = editorKit;
+ current = h;
+ this.id = id;
+ this.view = view;
+ owlDescription = new HashSet<OWLDescription>();
positiv = new Vector<JCheckBox>();
negativ = new Vector<JCheckBox>();
test = new SimpleSuggestionLearningAlgorithm();
@@ -199,522 +234,560 @@
cm = ComponentManager.getInstance();
ds = new HashSet<OWLDescription>();
suggestModel = new DefaultListModel();
-
+ detailPane = new JXTaskPane();
+ detailPane.setTitle("Details");
+
}
-
+
/**
- * This method initializes the SimpleSuggestionLearningAlgorithm and adds the
- * suggestions to the suggest panel model.
+ * This method initializes the SimpleSuggestionLearningAlgorithm and adds
+ * the suggestions to the suggest panel model.
*/
- public void initReasoner()
- {
+ public void initReasoner() {
alreadyLearned = false;
setKnowledgeSource();
setReasoner();
- SortedSet<Individual> pos=rs.getIndividuals();
- Set<Description> desc = test.getSimpleSuggestions(rs, pos);
+ SortedSet<Individual> pos = rs.getIndividuals();
+ Set<Description> descri = test.getSimpleSuggestions(rs, pos);
int i = 0;
- for(Iterator<Description> j = desc.iterator();j.hasNext();)
- {
- suggestModel.add(i,j.next());
+ for (Iterator<Description> j = descri.iterator(); j.hasNext();) {
+ suggestModel.add(i, j.next());
}
+ // suggestModel.add(0,test.getCurrentlyBestEvaluatedDescription().
+ // getDescription
+ // ().toManchesterSyntaxString(editor.getOWLModelManager().
+ // getActiveOntology().getURI().toString()+"#", null));
}
-
+
/**
- * This method adds the solutions from the DL-Learner to the
- * model for the
+ * This method adds the solutions from the DL-Learner to the List Model.
*/
- private void addToListModel()
- {
- evalDescription = la.getCurrentlyBestEvaluatedDescriptions(anzahl);
- System.out.println("Size: "+la.getCurrentlyBestDescriptions().size());
- for(int j = 0;j<la.getCurrentlyBestEvaluatedDescriptions(anzahl).size();j++)
- {
- suggestModel.add(j,la.getCurrentlyBestEvaluatedDescriptions(anzahl).get(j).getDescription());
+ private void addToListModel() {
+ evalDescription = la.getCurrentlyBestEvaluatedDescriptions(ANZAHL);
+ for (int j = 0; j < la.getCurrentlyBestEvaluatedDescriptions(ANZAHL).size(); j++) {
+ suggestModel.add(j, la
+ .getCurrentlyBestEvaluatedDescriptions(ANZAHL).get(j)
+ .getDescription().toManchesterSyntaxString(
+ editor.getOWLModelManager().getActiveOntology()
+ .getURI().toString()
+ + "#", null));
}
}
-
+
/**
- * This method checks which positive and negative examples are checked
- * and puts the checked examples into a tree set.
+ * This method checks which positive and negative examples are checked and
+ * puts the checked examples into a tree set.
*/
- public void setPositiveAndNegativeExamples()
- {
+ public void setPositiveAndNegativeExamples() {
positiveExamples = new TreeSet<String>();
negativeExamples = new TreeSet<String>();
- for(int i=0;i<positiv.size();i++)
- {
- if(positiv.get(i).isSelected())
- {
+ for (int i = 0; i < positiv.size(); i++) {
+ if (positiv.get(i).isSelected()) {
positiveExamples.add(positiv.get(i).getText());
}
-
- if(negativ.get(i).isSelected())
- {
+
+ if (negativ.get(i).isSelected()) {
negativeExamples.add(negativ.get(i).getText());
}
}
}
-
+
/**
* This method returns the data for the suggest panel.
+ *
* @return Model for the suggest panel.
*/
- public DefaultListModel getSuggestList()
- {
+ public DefaultListModel getSuggestList() {
return suggestModel;
}
-
+
/**
* This method returns an array of descriptions learned by the DL-Learner.
+ *
* @return Array of descriptions learned by the DL-Learner.
*/
- public Description[] getDescriptions()
- {
+ public Description[] getDescriptions() {
return description;
}
- public List<EvaluatedDescription> getEvaluatedDescriptionList()
- {
+
+ /**
+ * This Method returns a List of evaluated descriptions suggested by the
+ * DL-Learner.
+ *
+ * @return list of evaluated descriptions
+ */
+ public List<EvaluatedDescription> getEvaluatedDescriptionList() {
return evalDescription;
}
+
/**
- * This method sets the knowledge source for the learning process.
- * Only OWLAPIOntology will be available.
+ * This method sets the knowledge source for the learning process. Only
+ * OWLAPIOntology will be available.
*/
- public void setKnowledgeSource()
- {
- this.source = new OWLAPIOntology(editor.getOWLModelManager().getActiveOntology());
+ public void setKnowledgeSource() {
+ this.source = new OWLAPIOntology(editor.getOWLModelManager()
+ .getActiveOntology());
}
-
+
/**
- * This method sets the reasoner and the reasoning service
- * Only OWLAPIReasoner is available.
+ * This method sets the reasoner and the reasoning service Only
+ * OWLAPIReasoner is available.
*/
- public void setReasoner()
- {
- this.reasoner =cm.reasoner(OWLAPIReasoner.class,source);
+ public void setReasoner() {
+ this.reasoner = cm.reasoner(OWLAPIReasoner.class, source);
try {
reasoner.init();
} catch (ComponentInitException e) {
// TODO Auto-generated catch block
+ System.out.println("fehler!!!!!!!!!");
e.printStackTrace();
}
rs = cm.reasoningService(reasoner);
}
-
+
/**
* This method sets the Learning problem for the learning process.
- * PosNegDefinitonLp for equivalent classes and
- * PosNegInclusionLP for super classes.
+ * PosNegDefinitonLp for equivalent classes and PosNegInclusionLP for super
+ * classes.
*/
- public void setLearningProblem()
- {
- if(id.equals("Equivalent classes"))
- {
+ public void setLearningProblem() {
+ if (id.equals("Equivalent classes")) {
+ // sets the learning problem to PosNegDefinitionLP when the
+ // dllearner should suggest an equivalent class
lp = cm.learningProblem(PosNegDefinitionLP.class, rs);
}
- if(id.equals("Superclasses"))
- {
+ if (id.equals("Superclasses")) {
+ // sets the learning problem to PosNegInclusionLP when the dllearner
+ // should suggest a subclass
lp = cm.learningProblem(PosNegInclusionLP.class, rs);
}
-
+ // adds the positive examples
cm.applyConfigEntry(lp, "positiveExamples", positiveExamples);
+ // adds the neagtive examples
cm.applyConfigEntry(lp, "negativeExamples", negativeExamples);
- try{
- lp.init();
- }
- catch(ComponentInitException e)
- {
+ try {
+ lp.init();
+ } catch (ComponentInitException e) {
e.printStackTrace();
}
}
-
+
/**
* This method sets the learning algorithm for the learning process.
*/
- public void setLearningAlgorithm()
- {
+ public void setLearningAlgorithm() {
try {
- this.la = cm.learningAlgorithm(ROLearner.class, lp, rs);
+ // sets the learning algorithm to ROlearner
+ this.la = cm.learningAlgorithm(ExampleBasedROLComponent.class, lp,
+ rs);
} catch (LearningProblemUnsupportedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
cm.applyConfigEntry(la, "numberOfTrees", 100);
cm.applyConfigEntry(la, "maxDepth", 5);
- try{
+ try {
+ // initializes the learning algorithm
la.init();
- }
- catch(ComponentInitException e){
- e.printStackTrace();
- }
- alreadyLearned = true;
+ } catch (ComponentInitException e) {
+ e.printStackTrace();
+ }
+ alreadyLearned = true;
}
/**
* This method starts the learning process.
*/
- public void run()
- {
+ public void run() {
error = "Learning succesful";
// start the algorithm and print the best concept found
la.start();
- description = new Description[la.getCurrentlyBestEvaluatedDescriptions(anzahl).size()];
+ description = new Description[la.getCurrentlyBestEvaluatedDescriptions(
+ ANZAHL).size()];
addToListModel();
- System.out.println(la.getCurrentlyBestEvaluatedDescriptions());
+ // renders the errormessage
view.renderErrorMessage(error);
+ // reenables the run button
view.getRunButton().setEnabled(true);
+ // disables the cancel button
view.getCancelButton().setEnabled(false);
view.getSuggestClassPanel().setSuggestList(suggestModel);
}
-
+
/**
- * This method returns the Concepts from the DL-Learner.
- * @return Array of learned Concepts.
+ * This method returns the Concepts from the DL-Learner.
+ *
+ * @return Array of learned Concepts.
*/
- public Description[] getSolutions()
- {
+ public Description[] getSolutions() {
return description;
}
-
+
/**
* This method returns the check boxes for the positive examples.
+ *
* @return Vector of check boxes for positive examples
*/
- public Vector<JCheckBox> getPosVector()
- {
+ public Vector<JCheckBox> getPosVector() {
return positiv;
}
-
+
/**
* This method returns the check boxes for the negative examples.
+ *
* @return Vector of check boxes for negative examples
*/
- public Vector<JCheckBox> getNegVector()
- {
+ public Vector<JCheckBox> getNegVector() {
return negativ;
}
-
+
/**
* This method gets an error message and storess it.
- * @param error error message
+ *
+ * @param err
+ * error message
*/
- public void setErrorMessage(String error)
- {
- this.error = error;
+ public void setErrorMessage(String err) {
+ this.error = err;
}
-
+
/**
- * This method sets the check boxes for the positive check boxes checked
- * if the individuals matches the concept that is chosen in protege.
+ * This method sets the check boxes for the positive check boxes checked if
+ * the individuals matches the concept that is chosen in protege.
*/
- public void setPosVector()
- {
+ public void setPosVector() {
setPositiveConcept();
- for(Iterator<Individual> j = rs.getIndividuals().iterator(); j.hasNext();)
- {
+ for (Iterator<Individual> j = rs.getIndividuals().iterator(); j
+ .hasNext();) {
String ind = j.next().toString();
- if(setPositivExamplesChecked(ind))
- {
- JCheckBox box = new JCheckBox(ind.toString(),true);
+ // checks if individual belongs to the selected concept
+ if (setPositivExamplesChecked(ind)) {
+ // when yes then it sets the positive example checked
+ JCheckBox box = new JCheckBox(ind.toString(), true);
box.setName("Positive");
positiv.add(box);
-
- }
- else
- {
- JCheckBox box = new JCheckBox(ind.toString(),false);
+ // and ne genative examples unchecked
+ JCheckBox box2 = new JCheckBox(ind.toString(), false);
+ box.setName("Negative");
+ negativ.add(box2);
+
+ } else {
+ // When no it unchecks the positive example
+ JCheckBox box = new JCheckBox(ind.toString(), false);
box.setName("Positive");
positiv.add(box);
+ // and checks the negative example
+ JCheckBox box2 = new JCheckBox(ind.toString(), true);
+ box.setName("Negative");
+ negativ.add(box2);
}
- JCheckBox box = new JCheckBox(ind.toString(),false);
- box.setName("Negative");
- negativ.add(box);
}
}
/**
* This method resets the Concepts that are learned.
*/
- public void unsetNewConcepts()
- {
- while(OWLDescription.iterator().hasNext())
- {
- OWLDescription.remove(OWLDescription.iterator().next());
+ public void unsetNewConcepts() {
+ while (owlDescription.iterator().hasNext()) {
+ owlDescription.remove(owlDescription.iterator().next());
}
}
-
+
/**
- * This method sets the individuals that belong to the concept which is chosen in protege.
+ * This method sets the individuals that belong to the concept which is
+ * chosen in protege.
*/
- public void setPositiveConcept()
- {
+ public void setPositiveConcept() {
SortedSet<Individual> individuals = null;
- if(!aktuell.getRootObject().toString().equals("Thing"))
- {
- for(Iterator<NamedClass> i = rs.getNamedClasses().iterator(); i.hasNext();)
- {
- if(individuals==null)
- {
+ // checks if selected concept is thing when yes then it selects all
+ // individuals
+ if (!current.getRootObject().toString().equals("Thing")) {
+
+ for (Iterator<NamedClass> i = rs.getNamedClasses().iterator(); i
+ .hasNext();) {
+ // if individuals is null
+ if (individuals == null) {
NamedClass concept = i.next();
- if(concept.toString().endsWith("#"+aktuell.getRootObject().toString()))
- {
- if(rs.retrieval(concept)!=null)
- {
+ // checks if the concept is the selected concept in protege
+ if (concept.toString().endsWith(
+ "#" + current.getRootObject().toString())) {
+ // if individuals is not null it gets all individuals of
+ // the concept
+ if (rs.retrieval(concept) != null) {
individual = rs.retrieval(concept);
break;
- }
+ }
}
}
}
- }
- else
- {
+ } else {
individual = rs.getIndividuals();
}
}
-
+
/**
- * This method gets an Individual and checks if this individual belongs to the concept
- * chosen in protege.
- * @param indi Individual to check if it belongs to the chosen concept
+ * This method gets an Individual and checks if this individual belongs to
+ * the concept chosen in protege.
+ *
+ * @param indi
+ * Individual to check if it belongs to the chosen concept
* @return is Individual belongs to the concept which is chosen in protege.
*/
- public boolean setPositivExamplesChecked(String indi)
- {
- boolean isChecked = false;
- if(individual != null)
- {
- if(individual.toString().contains(indi))
- {
- isChecked = true;
- }
+ public boolean setPositivExamplesChecked(String indi) {
+ boolean isChecked = false;
+ // checks if individuals are not empty
+ if (individual != null) {
+ // checks if the delivered individual belongs to the individuals of
+ // the selected concept
+ if (individual.toString().contains(indi)) {
+ isChecked = true;
}
- return isChecked;
-
+ }
+ return isChecked;
+
}
/**
- * This method resets the vectors where the check boxes for positive and negative Examples
- * are stored. It is called when the DL-Learner View is closed.
+ * This method resets the vectors where the check boxes for positive and
+ * negative Examples are stored. It is called when the DL-Learner View is
+ * closed.
*/
- public void clearVector()
- {
+ public void clearVector() {
positiv.removeAllElements();
negativ.removeAllElements();
}
-
+
/**
* This method gets an array of concepts from the DL-Learner and stores it
* in the description array.
- * @param list Array of concepts from DL-Learner
+ *
+ * @param list
+ * Array of concepts from DL-Learner
*/
- public void setDescriptionList(Description[] list)
- {
- description=list;
+ public void setDescriptionList(Description[] list) {
+ description = list;
}
-
+
/**
- * This method returns the current learning algorithm that is used to learn new concepts.
+ * This method returns the current learning algorithm that is used to learn
+ * new concepts.
+ *
* @return Learning algorithm that is used for learning concepts.
*/
- public LearningAlgorithm getLearningAlgorithm()
- {
+ public LearningAlgorithm getLearningAlgorithm() {
return la;
}
-
+
/**
- * This method gets an integer to return the positive examples check box on that position.
- * @param i integer for the position in the vector
+ * This method gets an integer to return the positive examples check box on
+ * that position.
+ *
+ * @param i
+ * integer for the position in the vector
* @return Positive examples check box on position i.
*/
- public JCheckBox getPositivJCheckBox(int i)
- {
+ public JCheckBox getPositivJCheckBox(int i) {
return positiv.get(i);
}
-
+
/**
- * This method gets an integer to return the negative examples check box on that position.
- * @param i integer for the position in the vector
+ * This method gets an integer to return the negative examples check box on
+ * that position.
+ *
+ * @param i
+ * integer for the position in the vector
* @return Negative examples check box on position i.
*/
- public JCheckBox getNegativJCheckBox(int i)
- {
+ public JCheckBox getNegativJCheckBox(int i) {
return negativ.get(i);
}
-
+
/**
- * This method resets the array of concepts from the DL_Learner.
- * It is called after the DL-Learner tab is closed.
+ * This method resets the array of concepts from the DL_Learner. It is
+ * called after the DL-Learner tab is closed.
*/
- public void resetSuggestionList()
- {
- for(int i=0;i<description.length;i++)
- {
- description[i]=null;
+ public void resetSuggestionList() {
+ for (int i = 0; i < description.length; i++) {
+ description[i] = null;
}
}
-
+
/**
- * This method unchecks the checkboxes that are checked after the process
- * of learning.
+ * This method unchecks the checkboxes that are checked after the process of
+ * learning.
*/
- public void unsetJCheckBoxen()
- {
- for(int j=0;j<positiv.size();j++)
- {
- if(positiv.get(j).isSelected())
- {
- JCheckBox i = positiv.get(j);
- i.setSelected(false);
- positiv.set(j, i);
- }
- if(negativ.get(j).isSelected())
- {
- JCheckBox i = negativ.get(j);
- i.setSelected(false);
- negativ.set(j, i);
- }
- }
+ public void unsetJCheckBoxen() {
+ for (int j = 0; j < positiv.size(); j++) {
+ // unselect all check poxes of the positive examples
+ if (positiv.get(j).isSelected()) {
+ JCheckBox i = positiv.get(j);
+ i.setSelected(false);
+ positiv.set(j, i);
+ }
+ // unselect all check boxes of the negative examples
+ if (negativ.get(j).isSelected()) {
+ JCheckBox i = negativ.get(j);
+ i.setSelected(false);
+ negativ.set(j, i);
+ }
+ }
}
/**
- * This method resets the model for the suggest panel.
- * It is called befor the DL-Learner learns the second time or when the
- * DL-Learner tab is closed.
+ * This method resets the model for the suggest panel. It is called befor
+ * the DL-Learner learns the second time or when the DL-Learner tab is
+ * closed.
*/
- public void unsetListModel()
- {
- if(suggestModel!=null)
- {
+ public void unsetListModel() {
+ if (suggestModel != null) {
suggestModel.removeAllElements();
}
}
/**
- * This method gets a description from the DL-Learner and adds is to the model from the suggest panel.
- * @param desc Description from the DL-Learner
+ * This method gets a description from the DL-Learner and adds is to the
+ * model from the suggest panel.
+ *
+ * @param descript
+ * Description from the DL-Learner
*/
- public void setSuggestModel(Description desc)
- {
- suggestModel.add(0, desc);
+ public void setSuggestModel(Description descript) {
+ suggestModel.add(0, descript);
}
-
+
/**
* This method returns the current OWLOntology that is loaded in protege.
+ *
* @return current ontology
*/
- public OWLOntology getOWLOntology()
- {
+ public OWLOntology getOWLOntology() {
return ontology;
}
-
+
/**
* This method returns a set of concepts that are learned by the DL-Learner.
- * They are already converted into the OWLDescription format.
+ * They are already converted into the OWLDescription format.
+ *
* @return Set of learned concepts in OWLDescription format
*/
- public Set<OWLDescription> getNewOWLDescription()
- {
- return OWLDescription;
+ public Set<OWLDescription> getNewOWLDescription() {
+ return owlDescription;
}
-
+
/**
- * This method returns the old concept which is chosen in protege in OWLDescription format.
+ * This method returns the old concept which is chosen in protege in
+ * OWLDescription format.
+ *
* @return Old Concept in OWLDescription format.
*/
- public OWLDescription getOldConceptOWLAPI()
- {
+ public OWLDescription getOldConceptOWLAPI() {
return oldConceptOWLAPI;
}
-
+
/**
- * This method returns the currently learned description in OWLDescription format.
+ * This method returns the currently learned description in OWLDescription
+ * format.
+ *
* @return currently used description in OWLDescription format
*/
- public OWLDescription getSolution()
- {
+ public OWLDescription getSolution() {
return desc;
}
-
+
/**
* This method gets a description learned by the DL-Learner an converts it
* to the OWLDescription format.
- * @param desc Description learned by the DL-Learner
+ *
+ * @param desc
+ * Description learned by the DL-Learner
*/
- public void setNewConceptOWLAPI(Description desc)
- {
- newConceptOWLAPI = OWLAPIDescriptionConvertVisitor.getOWLDescription(desc);
+ private void setNewConceptOWLAPI(Description des) {
+ // converts DL-Learner description into an OWL API Description
+ newConceptOWLAPI = OWLAPIDescriptionConvertVisitor
+ .getOWLDescription(des);
ds.add(newConceptOWLAPI);
- OWLDescription.add(newConceptOWLAPI);
+ owlDescription.add(newConceptOWLAPI);
this.desc = newConceptOWLAPI;
}
-
+
/**
* This method gets the old concept from checking the positive examples.
*/
- public void setOldConceptOWLAPI()
- {
- SortedSet<Individual> indi=rs.getIndividuals();
- for(Iterator<Individual> i = indi.iterator(); i.hasNext();)
- {
+ private void setOldConceptOWLAPI() {
+ // gets all individuals
+ SortedSet<Individual> indi = rs.getIndividuals();
+ // Iterator of Individuals
+ for (Iterator<Individual> i = indi.iterator(); i.hasNext();) {
Individual indi2 = i.next();
- if(positiveExamples.toString().contains(indi2.toString()))
- {
- Set<NamedClass> concept=reasoner.getConcepts(indi2);
- for(Iterator<NamedClass> k = concept.iterator();k.hasNext();)
- {
- OWLDescription oldConceptOWLAPI = OWLAPIDescriptionConvertVisitor.getOWLDescription(k.next());
- ds.add(oldConceptOWLAPI);
+ // checks if the current individual belongs to positive examples
+ if (positiveExamples != null) {
+ if (positiveExamples.toString().contains(indi2.toString())) {
+ // if yes then get the concepts of this individuals
+ Set<NamedClass> concept = reasoner.getConcepts(indi2);
+ // adds all concepts to old concept OWLAPI
+ for (Iterator<NamedClass> k = concept.iterator(); k
+ .hasNext();) {
+ OWLDescription oldOWLAPI = OWLAPIDescriptionConvertVisitor
+ .getOWLDescription(k.next());
+ ds.add(oldOWLAPI);
+ }
+
}
-
}
}
}
-
+
/**
- * This method stores the new concept learned by the DL-Learner in the Ontology.
- * @param desc Description learn by the DL-Learner
+ * This method stores the new concept learned by the DL-Learner in the
+ * Ontology.
+ *
+ * @param descript
+ * Description learn by the DL-Learner
*/
- public void changeDLLearnerDescriptionsToOWLDescriptions(Description desc)
- {
- setNewConceptOWLAPI(desc);
+ public void changeDLLearnerDescriptionsToOWLDescriptions(Description descript) {
+ setNewConceptOWLAPI(descript);
setOldConceptOWLAPI();
OWLOntologyManager manager = OWLManager.createOWLOntologyManager();
-
+
OWLDataFactory factory = manager.getOWLDataFactory();
-
- axiomOWLAPI = factory.getOWLEquivalentClassesAxiom(ds);
-
- OWLOntology ontology = editor.getOWLModelManager().getActiveOntology();
- AddAxiom axiom = new AddAxiom(ontology, axiomOWLAPI);
- System.out.println("axiom: "+axiomOWLAPI);
+ if (id.equals("Equivalent classes")) {
+ axiomOWLAPI = factory.getOWLEquivalentClassesAxiom(ds);
+ } else {
+ axiomOWLAPI = factory.getOWLSubClassAxiom(oldConceptOWLAPI,
+ newConceptOWLAPI);
+ }
+ OWLOntology onto = editor.getOWLModelManager().getActiveOntology();
+ AddAxiom axiom = new AddAxiom(onto, axiomOWLAPI);
try {
+ // adds the new concept to the ontology
manager.applyChange(axiom);
} catch (OWLOntologyChangeException e) {
// TODO Auto-generated catch block
e.printStackTrace();
- }
-
}
-
+
+ }
+
/**
* This method returns the currently used reasoning service.
+ *
* @return current reasoning service
*/
- public ReasoningService getReasoningService()
- {
+ public ReasoningService getReasoningService() {
return rs;
}
-
+
/**
- * This method gets the status if the DL-Learner has already learned.
- * It is only for reseting the suggest panel.
+ * This method gets the status if the DL-Learner has already learned. It is
+ * only for reseting the suggest panel.
+ *
* @return boolean if the learner has already learned
*/
- public boolean getAlreadyLearned()
- {
+ public boolean getAlreadyLearned() {
return alreadyLearned;
- }
-
-}
\ No newline at end of file
+ }
+
+ public URI getURI() {
+ return editor.getOWLModelManager().getActiveOntology().getURI();
+ }
+}
Modified: trunk/src/dl-learner/org/dllearner/tools/protege/META-INF/MANIFEST.MF
===================================================================
--- trunk/src/dl-learner/org/dllearner/tools/protege/META-INF/MANIFEST.MF 2008-08-14 09:50:45 UTC (rev 1069)
+++ trunk/src/dl-learner/org/dllearner/tools/protege/META-INF/MANIFEST.MF 2008-08-14 12:07:43 UTC (rev 1070)
@@ -1,12 +1,12 @@
Manifest-Version: 1.0
Bundle-ManifestVersion: 2
-Bundle-Name: Hallo Welt
+Bundle-Name: DL-Learner Plugin
Bundle-SymbolicName: org.dllearner.tools.protege;singleton:=true
Bundle-Category: protege
Bundle-Description: blablabla
Bundle-Vendor: blablabla
Bundle-DocURL: blablabla
-Bundle-ClassPath: .,lib/junit-4.4.jar,lib/pellet/pellet.jar,lib/pellet/aterm-java-1.6.jar,lib/jena/json.jar,lib/pellet/relaxngDatatype.jar,lib/pellet/xsdlib.jar,lib/jena/commons-logging-1.1.jar
+Bundle-ClassPath: .,lib/junit-4.4.jar,lib/jamon-2.7.jar,lib/pellet/pellet.jar,lib/pellet/aterm-java-1.6.jar,lib/jena/json.jar,lib/pellet/relaxngDatatype.jar,lib/pellet/xsdlib.jar,lib/jena/commons-logging-1.1.1.jar,lib/ore-tool/swingx-0.9.2.jar
Import-Package: org.osgi.framework,org.apache.log4j
Export-Package: lib
Bundle-Version: 1.0.0
Modified: trunk/src/dl-learner/org/dllearner/tools/protege/META-INF/plugin.xml
===================================================================
--- trunk/src/dl-learner/org/dllearner/tools/protege/META-INF/plugin.xml 2008-08-14 09:50:45 UTC (rev 1069)
+++ trunk/src/dl-learner/org/dllearner/tools/protege/META-INF/plugin.xml 2008-08-14 12:07:43 UTC (rev 1070)
@@ -2,7 +2,7 @@
<plugin>
<extension id="org.dllearner.tools.protege.ProtegePlugin"
point="org.protege.editor.core.application.ViewComponent">
- <label value="Hallo Welt"/>
+ <label value="DL-Learner Plugin"/>
<class value="org.dllearner.tools.protege.ProtegePlugin"/>
<headerColor value="@org.protege.classcolor"/>
<category value="@org.protege.classcategory"/>
Modified: trunk/src/dl-learner/org/dllearner/tools/protege/MoreDetailForSuggestedConceptsPanel.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/tools/protege/MoreDetailForSuggestedConceptsPanel.java 2008-08-14 09:50:45 UTC (rev 1069)
+++ trunk/src/dl-learner/org/dllearner/tools/protege/MoreDetailForSuggestedConceptsPanel.java 2008-08-14 12:07:43 UTC (rev 1070)
@@ -1,161 +1,209 @@
+/**
+ * Copyright (C) 2007-2008, Jens Lehmann
+ *
+ * This file is part of DL-Learner.
+ *
+ * DL-Learner is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation; either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * DL-Learner is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with this program. If not, see <http://www.gnu.org/licenses/>.
+ *
+ */
package org.dllearner.tools.protege;
+import java.awt.GridLayout;
+import java.awt.Color;
+
import java.util.Iterator;
-import java.util.List;
+import javax.swing.JDialog;
+import javax.swing.JLabel;
import javax.swing.JPanel;
-import javax.swing.JLabel;
+import javax.swing.JScrollPane;
import javax.swing.JTextArea;
-import javax.swing.JScrollPane;
-import javax.swing.JDialog;
import javax.swing.WindowConstants;
-import java.awt.GridLayout;
-
import org.dllearner.core.EvaluatedDescription;
-import org.dllearner.core.owl.Description;
import org.dllearner.core.owl.Individual;
-public class MoreDetailForSuggestedConceptsPanel extends JPanel{
+/**
+ * This class shows more details of the suggested concepts. It shows the positive and negative examples
+ * that are covered and that are not covered by the suggested concepts. It also shows the accuracya of the
+ * selected concept.
+ * @author Christian Koetteritzsch
+ *
+ */
+public class MoreDetailForSuggestedConceptsPanel extends JPanel {
private static final long serialVersionUID = 785272797932584581L;
-
+
+ // Model of the dllearner
+
private DLLearnerModel model;
+ // Textarea to render the accuracy of the concept
+
private JTextArea accuracy;
- private JPanel accuracyPanel;
+ // Label for the positive examples that are covered by the concept
+
private JLabel coveredPositiveExamples;
+
+ // Label for the negative examples that are covered by the concept
+
private JLabel coveredNegativeExamples;
+
+ // Label for the positive examples that are not covered by the concept
+
private JLabel notCoveredPositiveExamples;
+
+ // Label for the negative examples that are not covered by the concept
+
private JLabel notCoveredNegativeExamples;
+
+ // Pop up panel for the informations of the selected concept
+
private JDialog detailPopup;
+
+ // Panel where the informations of the selected panel are rendered
+
private JPanel examplePanel;
+
+ // Text area that shows the covered positive examples
+
private JTextArea posCoveredText;
+
+ // Text area that shows the positive examples that are not covered by the selected concept
+
private JTextArea posNotCoveredText;
+
+ // Text area that shows the covered negative examples
+
private JTextArea negCoveredText;
+
+ // Text area that shows the negative examples that are not covered by the selected concept
+
private JTextArea negNotCoveredText;
+
+ // Text area that shows the accurcy of the selected concept
+
private JTextArea accuracyText;
+
+ // Scroll pane if scroll bar is necessary to show all covered examples
+
private JScrollPane detailScroll;
- private JPanel detailPanel;
-
- public MoreDetailForSuggestedConceptsPanel(DLLearnerModel model)
- {
+ // Evaluated description of the selected concept
+
+ private EvaluatedDescription eval;
+ private final Color colorRed = Color.red;
+ private final Color colorGreen = Color.green;
+ /**
+ * This is the constructor for the Panel.
+ * @param model DLLearnerModel
+ */
+ public MoreDetailForSuggestedConceptsPanel(DLLearnerModel model) {
this.model = model;
}
-
- public JDialog getMoreDialog()
- {
+ /**
+ * This method returns the Detail Panel.
+ * @return DetailPanel
+ */
+ public JDialog getMoreDialog() {
return detailPopup;
}
- public JScrollPane getDetailScrollPane()
- {
- return detailScroll;
- }
- private EvaluatedDescription getSelectedConcept(Description eval)
- {
- List<EvaluatedDescription> evalDesc = model.getEvaluatedDescriptionList();
- EvaluatedDescription eDesc = null;
-
- for(Iterator<EvaluatedDescription> i = evalDesc.iterator(); i.hasNext();)
- {
- if(eDesc==null)
- {
- EvaluatedDescription e = i.next();
- System.out.println("Description: "+e.getDescription());
- System.out.println("Description2: "+eval);
- if(e.getDescription().toString().equals(eval.toString()))
- {
- eDesc = e;
- }
-
- }
- }
- return eDesc;
- }
-
- public void renderDetailPanel(Description desc)
- {
- EvaluatedDescription eval = getSelectedConcept(desc);
- System.out.println("Eval: "+eval);
- accuracyPanel = new JPanel(new GridLayout(0,2));
+
+ /**
+ * This method renders the output for the detail panel.
+ * @param desc selected description
+ */
+ public void renderDetailPanel(EvaluatedDescription desc) {
+ eval = desc;
accuracy = new JTextArea("Accuracy:");
accuracy.setEditable(false);
- accuracyPanel.add(accuracy);
posCoveredText = new JTextArea();
+ posCoveredText.setForeground(colorGreen);
+ //sets covered positive examples text area not editable
posCoveredText.setEditable(false);
posNotCoveredText = new JTextArea();
+ posNotCoveredText.setForeground(colorRed);
+ //sets not covered positive examples text area not editable
posNotCoveredText.setEditable(false);
negCoveredText = new JTextArea();
+ negCoveredText.se...
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