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[DL-Learner SVN] SF.net SVN: dl-learner:[2724] trunk
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From: <ji...@us...> - 2011-03-16 21:14:21
|
Revision: 2724
http://dl-learner.svn.sourceforge.net/dl-learner/?rev=2724&view=rev
Author: jialva
Date: 2011-03-16 21:14:14 +0000 (Wed, 16 Mar 2011)
Log Message:
-----------
undoing last "commit" regarding fuzzy extension
Modified Paths:
--------------
trunk/components-core/src/main/java/org/dllearner/core/ComponentManager.java
trunk/components-core/src/main/java/org/dllearner/core/configurators/ComponentFactory.java
trunk/components-core/src/main/java/org/dllearner/reasoning/ReasonerType.java
trunk/components-core/src/main/resources/components.ini
trunk/interfaces/src/main/java/org/dllearner/cli/ConfMapper.java
Removed Paths:
-------------
trunk/components-core/src/main/java/org/dllearner/algorithms/fuzzydll/
trunk/components-core/src/main/java/org/dllearner/core/configurators/FuzzyCELOEConfigurator.java
trunk/components-core/src/main/java/org/dllearner/core/configurators/FuzzyOWLAPIReasonerConfigurator.java
trunk/components-core/src/main/java/org/dllearner/reasoning/fuzzydll/
trunk/components-core/src/main/resources/FuzzyDL/
Modified: trunk/components-core/src/main/java/org/dllearner/core/ComponentManager.java
===================================================================
--- trunk/components-core/src/main/java/org/dllearner/core/ComponentManager.java 2011-03-16 11:38:50 UTC (rev 2723)
+++ trunk/components-core/src/main/java/org/dllearner/core/ComponentManager.java 2011-03-16 21:14:14 UTC (rev 2724)
@@ -83,7 +83,6 @@
"org.dllearner.kb.OWLAPIOntology",
//reasoners
"org.dllearner.reasoning.OWLAPIReasoner",
- "org.dllearner.reasoning.fuzzydll.FuzzyOWLAPIReasoner", // added by Josue
"org.dllearner.reasoning.DIGReasoner",
"org.dllearner.reasoning.FastRetrievalReasoner",
"org.dllearner.reasoning.FastInstanceChecker",
@@ -103,7 +102,6 @@
"org.dllearner.algorithms.el.ELLearningAlgorithm",
"org.dllearner.algorithms.el.ELLearningAlgorithmDisjunctive",
"org.dllearner.algorithms.celoe.CELOE",
- "org.dllearner.algorithms.fuzzydll.FuzzyCELOE", //added by Josue
"org.dllearner.algorithms.isle.ISLE"
} ));
Modified: trunk/components-core/src/main/java/org/dllearner/core/configurators/ComponentFactory.java
===================================================================
--- trunk/components-core/src/main/java/org/dllearner/core/configurators/ComponentFactory.java 2011-03-16 11:38:50 UTC (rev 2723)
+++ trunk/components-core/src/main/java/org/dllearner/core/configurators/ComponentFactory.java 2011-03-16 21:14:14 UTC (rev 2724)
@@ -27,7 +27,6 @@
import org.dllearner.algorithms.celoe.CELOE;
import org.dllearner.algorithms.el.ELLearningAlgorithm;
import org.dllearner.algorithms.el.ELLearningAlgorithmDisjunctive;
-import org.dllearner.algorithms.fuzzydll.FuzzyCELOE;
import org.dllearner.algorithms.gp.GP;
import org.dllearner.algorithms.isle.ISLE;
import org.dllearner.algorithms.ocel.OCEL;
@@ -50,7 +49,6 @@
import org.dllearner.reasoning.OWLAPIReasoner;
import org.dllearner.reasoning.PelletReasoner;
import org.dllearner.reasoning.ProtegeReasoner;
-import org.dllearner.reasoning.fuzzydll.FuzzyOWLAPIReasoner;
/**
* automatically generated, do not edit manually.
@@ -140,14 +138,6 @@
}
/**
-* @param knowledgeSource see KnowledgeSource
-* @return a component ready for initialization FuzzyOWLAPIReasoner
-**/
-public static FuzzyOWLAPIReasoner getFuzzyOWLAPIReasoner(Set<KnowledgeSource> knowledgeSource) {
-return FuzzyOWLAPIReasonerConfigurator.getFuzzyOWLAPIReasoner(knowledgeSource);
-}
-
-/**
* @param classToDescribe class of which a description should be learned
* @param reasoningService see ReasoningService
* @return a component ready for initialization ClassLearningProblem
@@ -239,16 +229,6 @@
* @param learningProblem see LearningProblem
* @param reasoningService see ReasoningService
* @throws LearningProblemUnsupportedException see
-* @return a component ready for initialization FuzzyCELOE
-**/
-public static FuzzyCELOE getFuzzyCELOE(LearningProblem learningProblem, ReasonerComponent reasoningService) throws LearningProblemUnsupportedException {
-return FuzzyCELOEConfigurator.getFuzzyCELOE(learningProblem, reasoningService);
-}
-
-/**
-* @param learningProblem see LearningProblem
-* @param reasoningService see ReasoningService
-* @throws LearningProblemUnsupportedException see
* @return a component ready for initialization GP
**/
public static GP getGP(LearningProblem learningProblem, ReasonerComponent reasoningService) throws LearningProblemUnsupportedException {
Deleted: trunk/components-core/src/main/java/org/dllearner/core/configurators/FuzzyCELOEConfigurator.java
===================================================================
--- trunk/components-core/src/main/java/org/dllearner/core/configurators/FuzzyCELOEConfigurator.java 2011-03-16 11:38:50 UTC (rev 2723)
+++ trunk/components-core/src/main/java/org/dllearner/core/configurators/FuzzyCELOEConfigurator.java 2011-03-16 21:14:14 UTC (rev 2724)
@@ -1,499 +0,0 @@
-/**
- * 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.core.configurators;
-
-import org.dllearner.algorithms.fuzzydll.FuzzyCELOE;
-import org.dllearner.core.ComponentManager;
-import org.dllearner.core.LearningProblem;
-import org.dllearner.core.LearningProblemUnsupportedException;
-import org.dllearner.core.ReasonerComponent;
-
-/**
-* automatically generated, do not edit manually.
-* run org.dllearner.scripts.ConfigJavaGenerator to update
-**/
-public class FuzzyCELOEConfigurator extends RefinementOperatorConfigurator implements Configurator {
-
-private boolean reinitNecessary = false;
-private FuzzyCELOE fuzzyCELOE;
-
-/**
-* @param fuzzyCELOE see FuzzyCELOE
-**/
-public FuzzyCELOEConfigurator(FuzzyCELOE fuzzyCELOE){
-this.fuzzyCELOE = fuzzyCELOE;
-}
-
-/**
-* @param reasoningService see reasoningService
-* @param learningProblem see learningProblem
-* @throws LearningProblemUnsupportedException see
-* @return FuzzyCELOE
-**/
-public static FuzzyCELOE getFuzzyCELOE(LearningProblem learningProblem, ReasonerComponent reasoningService) throws LearningProblemUnsupportedException{
-FuzzyCELOE component = ComponentManager.getInstance().learningAlgorithm(FuzzyCELOE.class, learningProblem, reasoningService);
-return component;
-}
-
-/**
-* useAllConstructor specifies whether the universal concept constructor is used in the learning algorithm.
-* mandatory: false| reinit necessary: true
-* default value: true
-* @return boolean
-**/
-public boolean getUseAllConstructor() {
-return (Boolean) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "useAllConstructor") ;
-}
-/**
-* useExistsConstructor specifies whether the existential concept constructor is used in the learning algorithm.
-* mandatory: false| reinit necessary: true
-* default value: true
-* @return boolean
-**/
-public boolean getUseExistsConstructor() {
-return (Boolean) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "useExistsConstructor") ;
-}
-/**
-* useHasValueConstructor specifies whether the hasValue constructor is used in the learning algorithm.
-* mandatory: false| reinit necessary: true
-* default value: false
-* @return boolean
-**/
-public boolean getUseHasValueConstructor() {
-return (Boolean) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "useHasValueConstructor") ;
-}
-/**
-* useDataHasValueConstructor specifies whether the hasValue constructor is used in the learning algorithm in combination with data properties.
-* mandatory: false| reinit necessary: true
-* default value: false
-* @return boolean
-**/
-public boolean getUseDataHasValueConstructor() {
-return (Boolean) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "useDataHasValueConstructor") ;
-}
-/**
-* valueFrequencyThreshold specifies how often an object must occur as value in order to be considered for hasValue restrictions.
-* mandatory: false| reinit necessary: true
-* default value: 3
-* @return int
-**/
-public int getValueFrequencyThreshold() {
-return (Integer) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "valueFrequencyThreshold") ;
-}
-/**
-* useCardinalityRestrictions specifies whether CardinalityRestrictions is used in the learning algorithm.
-* mandatory: false| reinit necessary: true
-* default value: true
-* @return boolean
-**/
-public boolean getUseCardinalityRestrictions() {
-return (Boolean) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "useCardinalityRestrictions") ;
-}
-/**
-* cardinalityLimit Gives the maximum number used in cardinality restrictions..
-* mandatory: false| reinit necessary: true
-* default value: 5
-* @return int
-**/
-public int getCardinalityLimit() {
-return (Integer) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "cardinalityLimit") ;
-}
-/**
-* useNegation specifies whether negation is used in the learning algorothm.
-* mandatory: false| reinit necessary: true
-* default value: false
-* @return boolean
-**/
-public boolean getUseNegation() {
-return (Boolean) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "useNegation") ;
-}
-/**
-* useBooleanDatatypes specifies whether boolean datatypes are used in the learning algorothm.
-* mandatory: false| reinit necessary: true
-* default value: true
-* @return boolean
-**/
-public boolean getUseBooleanDatatypes() {
-return (Boolean) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "useBooleanDatatypes") ;
-}
-/**
-* useDoubleDatatypes specifies whether boolean datatypes are used in the learning algorothm.
-* mandatory: false| reinit necessary: true
-* default value: true
-* @return boolean
-**/
-public boolean getUseDoubleDatatypes() {
-return (Boolean) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "useDoubleDatatypes") ;
-}
-/**
-* maxExecutionTimeInSeconds algorithm will stop after specified seconds.
-* mandatory: false| reinit necessary: true
-* default value: 10
-* @return int
-**/
-public int getMaxExecutionTimeInSeconds() {
-return (Integer) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "maxExecutionTimeInSeconds") ;
-}
-/**
-* noisePercentage the (approximated) percentage of noise within the examples.
-* mandatory: false| reinit necessary: true
-* default value: 0.0
-* @return double
-**/
-public double getNoisePercentage() {
-return (Double) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "noisePercentage") ;
-}
-/**
-* terminateOnNoiseReached specifies whether to terminate when noise criterion is met.
-* mandatory: false| reinit necessary: true
-* default value: false
-* @return boolean
-**/
-public boolean getTerminateOnNoiseReached() {
-return (Boolean) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "terminateOnNoiseReached") ;
-}
-/**
-* maxDepth maximum depth of description.
-* mandatory: false| reinit necessary: true
-* default value: 7
-* @return int
-**/
-public int getMaxDepth() {
-return (Integer) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "maxDepth") ;
-}
-/**
-* maxNrOfResults Sets the maximum number of results one is interested in. (Setting this to a lower value may increase performance as the learning algorithm has to store/evaluate/beautify less descriptions)..
-* mandatory: false| reinit necessary: true
-* default value: 10
-* @return int
-**/
-public int getMaxNrOfResults() {
-return (Integer) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "maxNrOfResults") ;
-}
-/**
-* maxClassDescriptionTests The maximum number of candidate hypothesis the algorithm is allowed to test (0 = no limit). The algorithm will stop afterwards. (The real number of tests can be slightly higher, because this criterion usually won't be checked after each single test.).
-* mandatory: false| reinit necessary: true
-* default value: 0
-* @return int
-**/
-public int getMaxClassDescriptionTests() {
-return (Integer) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "maxClassDescriptionTests") ;
-}
-/**
-* singleSuggestionMode Use this if you are interested in only one suggestion and your learning problem has many (more than 1000) examples..
-* mandatory: false| reinit necessary: true
-* default value: false
-* @return boolean
-**/
-public boolean getSingleSuggestionMode() {
-return (Boolean) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "singleSuggestionMode") ;
-}
-/**
-* instanceBasedDisjoints Specifies whether to use real disjointness checks or instance based ones (no common instances) in the refinement operator..
-* mandatory: false| reinit necessary: true
-* default value: true
-* @return boolean
-**/
-public boolean getInstanceBasedDisjoints() {
-return (Boolean) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "instanceBasedDisjoints") ;
-}
-/**
-* filterDescriptionsFollowingFromKB If true, then the results will not contain suggestions, which already follow logically from the knowledge base. Be careful, since this requires a potentially expensive consistency check for candidate solutions..
-* mandatory: false| reinit necessary: true
-* default value: false
-* @return boolean
-**/
-public boolean getFilterDescriptionsFollowingFromKB() {
-return (Boolean) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "filterDescriptionsFollowingFromKB") ;
-}
-/**
-* reuseExistingDescription If true, the algorithm tries to find a good starting point close to an existing definition/super class of the given class in the knowledge base..
-* mandatory: false| reinit necessary: true
-* default value: false
-* @return boolean
-**/
-public boolean getReuseExistingDescription() {
-return (Boolean) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "reuseExistingDescription") ;
-}
-/**
-* writeSearchTree specifies whether to write a search tree.
-* mandatory: false| reinit necessary: true
-* default value: false
-* @return boolean
-**/
-public boolean getWriteSearchTree() {
-return (Boolean) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "writeSearchTree") ;
-}
-/**
-* searchTreeFile file to use for the search tree.
-* mandatory: false| reinit necessary: true
-* default value: log/searchTree.txt
-* @return String
-**/
-public String getSearchTreeFile() {
-return (String) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "searchTreeFile") ;
-}
-/**
-* replaceSearchTree specifies whether to replace the search tree in the log file after each run or append the new search tree.
-* mandatory: false| reinit necessary: true
-* default value: false
-* @return boolean
-**/
-public boolean getReplaceSearchTree() {
-return (Boolean) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "replaceSearchTree") ;
-}
-/**
-* expansionPenaltyFactor heuristic penalty per syntactic construct used (lower = finds more complex expression, but might miss simple ones).
-* mandatory: false| reinit necessary: true
-* default value: 0.1
-* @return double
-**/
-public double getExpansionPenaltyFactor() {
-return (Double) ComponentManager.getInstance().getConfigOptionValue(fuzzyCELOE, "expansionPenaltyFactor") ;
-}
-
-/**
-* @param useAllConstructor specifies whether the universal concept constructor is used in the learning algorithm.
-* mandatory: false| reinit necessary: true
-* default value: true
-**/
-public void setUseAllConstructor(boolean useAllConstructor) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "useAllConstructor", useAllConstructor);
-reinitNecessary = true;
-}
-/**
-* @param useExistsConstructor specifies whether the existential concept constructor is used in the learning algorithm.
-* mandatory: false| reinit necessary: true
-* default value: true
-**/
-public void setUseExistsConstructor(boolean useExistsConstructor) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "useExistsConstructor", useExistsConstructor);
-reinitNecessary = true;
-}
-/**
-* @param useHasValueConstructor specifies whether the hasValue constructor is used in the learning algorithm.
-* mandatory: false| reinit necessary: true
-* default value: false
-**/
-public void setUseHasValueConstructor(boolean useHasValueConstructor) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "useHasValueConstructor", useHasValueConstructor);
-reinitNecessary = true;
-}
-/**
-* @param useDataHasValueConstructor specifies whether the hasValue constructor is used in the learning algorithm in combination with data properties.
-* mandatory: false| reinit necessary: true
-* default value: false
-**/
-public void setUseDataHasValueConstructor(boolean useDataHasValueConstructor) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "useDataHasValueConstructor", useDataHasValueConstructor);
-reinitNecessary = true;
-}
-/**
-* @param valueFrequencyThreshold specifies how often an object must occur as value in order to be considered for hasValue restrictions.
-* mandatory: false| reinit necessary: true
-* default value: 3
-**/
-public void setValueFrequencyThreshold(int valueFrequencyThreshold) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "valueFrequencyThreshold", valueFrequencyThreshold);
-reinitNecessary = true;
-}
-/**
-* @param useCardinalityRestrictions specifies whether CardinalityRestrictions is used in the learning algorithm.
-* mandatory: false| reinit necessary: true
-* default value: true
-**/
-public void setUseCardinalityRestrictions(boolean useCardinalityRestrictions) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "useCardinalityRestrictions", useCardinalityRestrictions);
-reinitNecessary = true;
-}
-/**
-* @param cardinalityLimit Gives the maximum number used in cardinality restrictions..
-* mandatory: false| reinit necessary: true
-* default value: 5
-**/
-public void setCardinalityLimit(int cardinalityLimit) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "cardinalityLimit", cardinalityLimit);
-reinitNecessary = true;
-}
-/**
-* @param useNegation specifies whether negation is used in the learning algorothm.
-* mandatory: false| reinit necessary: true
-* default value: false
-**/
-public void setUseNegation(boolean useNegation) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "useNegation", useNegation);
-reinitNecessary = true;
-}
-/**
-* @param useBooleanDatatypes specifies whether boolean datatypes are used in the learning algorothm.
-* mandatory: false| reinit necessary: true
-* default value: true
-**/
-public void setUseBooleanDatatypes(boolean useBooleanDatatypes) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "useBooleanDatatypes", useBooleanDatatypes);
-reinitNecessary = true;
-}
-/**
-* @param useDoubleDatatypes specifies whether boolean datatypes are used in the learning algorothm.
-* mandatory: false| reinit necessary: true
-* default value: true
-**/
-public void setUseDoubleDatatypes(boolean useDoubleDatatypes) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "useDoubleDatatypes", useDoubleDatatypes);
-reinitNecessary = true;
-}
-/**
-* @param maxExecutionTimeInSeconds algorithm will stop after specified seconds.
-* mandatory: false| reinit necessary: true
-* default value: 10
-**/
-public void setMaxExecutionTimeInSeconds(int maxExecutionTimeInSeconds) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "maxExecutionTimeInSeconds", maxExecutionTimeInSeconds);
-reinitNecessary = true;
-}
-/**
-* @param noisePercentage the (approximated) percentage of noise within the examples.
-* mandatory: false| reinit necessary: true
-* default value: 0.0
-**/
-public void setNoisePercentage(double noisePercentage) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "noisePercentage", noisePercentage);
-reinitNecessary = true;
-}
-/**
-* @param terminateOnNoiseReached specifies whether to terminate when noise criterion is met.
-* mandatory: false| reinit necessary: true
-* default value: false
-**/
-public void setTerminateOnNoiseReached(boolean terminateOnNoiseReached) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "terminateOnNoiseReached", terminateOnNoiseReached);
-reinitNecessary = true;
-}
-/**
-* @param maxDepth maximum depth of description.
-* mandatory: false| reinit necessary: true
-* default value: 7
-**/
-public void setMaxDepth(int maxDepth) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "maxDepth", maxDepth);
-reinitNecessary = true;
-}
-/**
-* @param maxNrOfResults Sets the maximum number of results one is interested in. (Setting this to a lower value may increase performance as the learning algorithm has to store/evaluate/beautify less descriptions)..
-* mandatory: false| reinit necessary: true
-* default value: 10
-**/
-public void setMaxNrOfResults(int maxNrOfResults) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "maxNrOfResults", maxNrOfResults);
-reinitNecessary = true;
-}
-/**
-* @param maxClassDescriptionTests The maximum number of candidate hypothesis the algorithm is allowed to test (0 = no limit). The algorithm will stop afterwards. (The real number of tests can be slightly higher, because this criterion usually won't be checked after each single test.).
-* mandatory: false| reinit necessary: true
-* default value: 0
-**/
-public void setMaxClassDescriptionTests(int maxClassDescriptionTests) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "maxClassDescriptionTests", maxClassDescriptionTests);
-reinitNecessary = true;
-}
-/**
-* @param singleSuggestionMode Use this if you are interested in only one suggestion and your learning problem has many (more than 1000) examples..
-* mandatory: false| reinit necessary: true
-* default value: false
-**/
-public void setSingleSuggestionMode(boolean singleSuggestionMode) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "singleSuggestionMode", singleSuggestionMode);
-reinitNecessary = true;
-}
-/**
-* @param instanceBasedDisjoints Specifies whether to use real disjointness checks or instance based ones (no common instances) in the refinement operator..
-* mandatory: false| reinit necessary: true
-* default value: true
-**/
-public void setInstanceBasedDisjoints(boolean instanceBasedDisjoints) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "instanceBasedDisjoints", instanceBasedDisjoints);
-reinitNecessary = true;
-}
-/**
-* @param filterDescriptionsFollowingFromKB If true, then the results will not contain suggestions, which already follow logically from the knowledge base. Be careful, since this requires a potentially expensive consistency check for candidate solutions..
-* mandatory: false| reinit necessary: true
-* default value: false
-**/
-public void setFilterDescriptionsFollowingFromKB(boolean filterDescriptionsFollowingFromKB) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "filterDescriptionsFollowingFromKB", filterDescriptionsFollowingFromKB);
-reinitNecessary = true;
-}
-/**
-* @param reuseExistingDescription If true, the algorithm tries to find a good starting point close to an existing definition/super class of the given class in the knowledge base..
-* mandatory: false| reinit necessary: true
-* default value: false
-**/
-public void setReuseExistingDescription(boolean reuseExistingDescription) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "reuseExistingDescription", reuseExistingDescription);
-reinitNecessary = true;
-}
-/**
-* @param writeSearchTree specifies whether to write a search tree.
-* mandatory: false| reinit necessary: true
-* default value: false
-**/
-public void setWriteSearchTree(boolean writeSearchTree) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "writeSearchTree", writeSearchTree);
-reinitNecessary = true;
-}
-/**
-* @param searchTreeFile file to use for the search tree.
-* mandatory: false| reinit necessary: true
-* default value: log/searchTree.txt
-**/
-public void setSearchTreeFile(String searchTreeFile) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "searchTreeFile", searchTreeFile);
-reinitNecessary = true;
-}
-/**
-* @param replaceSearchTree specifies whether to replace the search tree in the log file after each run or append the new search tree.
-* mandatory: false| reinit necessary: true
-* default value: false
-**/
-public void setReplaceSearchTree(boolean replaceSearchTree) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "replaceSearchTree", replaceSearchTree);
-reinitNecessary = true;
-}
-/**
-* @param expansionPenaltyFactor heuristic penalty per syntactic construct used (lower = finds more complex expression, but might miss simple ones).
-* mandatory: false| reinit necessary: true
-* default value: 0.1
-**/
-public void setExpansionPenaltyFactor(double expansionPenaltyFactor) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyCELOE, "expansionPenaltyFactor", expansionPenaltyFactor);
-reinitNecessary = true;
-}
-
-/**
-* true, if this component needs reinitializsation.
-* @return boolean
-**/
-public boolean isReinitNecessary(){
-return reinitNecessary;
-}
-
-
-}
Deleted: trunk/components-core/src/main/java/org/dllearner/core/configurators/FuzzyOWLAPIReasonerConfigurator.java
===================================================================
--- trunk/components-core/src/main/java/org/dllearner/core/configurators/FuzzyOWLAPIReasonerConfigurator.java 2011-03-16 11:38:50 UTC (rev 2723)
+++ trunk/components-core/src/main/java/org/dllearner/core/configurators/FuzzyOWLAPIReasonerConfigurator.java 2011-03-16 21:14:14 UTC (rev 2724)
@@ -1,101 +0,0 @@
-/**
- * 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.core.configurators;
-
-import java.net.URL;
-import java.util.Set;
-import org.dllearner.core.ComponentManager;
-import org.dllearner.core.KnowledgeSource;
-import org.dllearner.reasoning.fuzzydll.FuzzyOWLAPIReasoner;
-
-/**
-* automatically generated, do not edit manually.
-* run org.dllearner.scripts.ConfigJavaGenerator to update
-**/
-public class FuzzyOWLAPIReasonerConfigurator implements Configurator {
-
-private boolean reinitNecessary = false;
-private FuzzyOWLAPIReasoner fuzzyOWLAPIReasoner;
-
-/**
-* @param fuzzyOWLAPIReasoner see FuzzyOWLAPIReasoner
-**/
-public FuzzyOWLAPIReasonerConfigurator(FuzzyOWLAPIReasoner fuzzyOWLAPIReasoner){
-this.fuzzyOWLAPIReasoner = fuzzyOWLAPIReasoner;
-}
-
-/**
-* @param knowledgeSource see knowledgeSource
-* @return FuzzyOWLAPIReasoner
-**/
-public static FuzzyOWLAPIReasoner getFuzzyOWLAPIReasoner(Set<KnowledgeSource> knowledgeSource) {
-FuzzyOWLAPIReasoner component = ComponentManager.getInstance().reasoner(FuzzyOWLAPIReasoner.class, knowledgeSource);
-return component;
-}
-
-/**
-* reasonerType FaCT++, HermiT, OWLlink or Pellet, which means "fact", "hermit", "owllink" or "pellet".
-* mandatory: false| reinit necessary: true
-* default value: pellet
-* @return String
-**/
-public String getReasonerType() {
-return (String) ComponentManager.getInstance().getConfigOptionValue(fuzzyOWLAPIReasoner, "reasonerType") ;
-}
-/**
-* owlLinkURL the URL to the remote OWLlink server.
-* mandatory: false| reinit necessary: true
-* default value: http://localhost:8080/
-* @return URL
-**/
-public URL getOwlLinkURL() {
-return (URL) ComponentManager.getInstance().getConfigOptionValue(fuzzyOWLAPIReasoner, "owlLinkURL") ;
-}
-
-/**
-* @param reasonerType FaCT++, HermiT, OWLlink or Pellet, which means "fact", "hermit", "owllink" or "pellet".
-* mandatory: false| reinit necessary: true
-* default value: pellet
-**/
-public void setReasonerType(String reasonerType) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyOWLAPIReasoner, "reasonerType", reasonerType);
-reinitNecessary = true;
-}
-/**
-* @param owlLinkURL the URL to the remote OWLlink server.
-* mandatory: false| reinit necessary: true
-* default value: http://localhost:8080/
-**/
-public void setOwlLinkURL(URL owlLinkURL) {
-ComponentManager.getInstance().applyConfigEntry(fuzzyOWLAPIReasoner, "owlLinkURL", owlLinkURL);
-reinitNecessary = true;
-}
-
-/**
-* true, if this component needs reinitializsation.
-* @return boolean
-**/
-public boolean isReinitNecessary(){
-return reinitNecessary;
-}
-
-
-}
Modified: trunk/components-core/src/main/java/org/dllearner/reasoning/ReasonerType.java
===================================================================
--- trunk/components-core/src/main/java/org/dllearner/reasoning/ReasonerType.java 2011-03-16 11:38:50 UTC (rev 2723)
+++ trunk/components-core/src/main/java/org/dllearner/reasoning/ReasonerType.java 2011-03-16 21:14:14 UTC (rev 2724)
@@ -26,5 +26,5 @@
*
*/
public enum ReasonerType {
- KAON2, DIG, FAST_RETRIEVAL, OWLAPI_FACT, OWLAPI_PELLET, OWLAPI_HERMIT, OWLAPI_FUZZY, FAST_INSTANCE_CHECKER, PELLET, PROTEGE
+ KAON2, DIG, FAST_RETRIEVAL, OWLAPI_FACT, OWLAPI_PELLET, OWLAPI_HERMIT, FAST_INSTANCE_CHECKER, PELLET, PROTEGE
}
\ No newline at end of file
Modified: trunk/components-core/src/main/resources/components.ini
===================================================================
--- trunk/components-core/src/main/resources/components.ini 2011-03-16 11:38:50 UTC (rev 2723)
+++ trunk/components-core/src/main/resources/components.ini 2011-03-16 21:14:14 UTC (rev 2724)
@@ -7,7 +7,6 @@
org.dllearner.kb.OWLAPIOntology
# reasoners
org.dllearner.reasoning.OWLAPIReasoner
-org.dllearner.reasoning.fuzzydll.FuzzyOWLAPIReasoner
org.dllearner.reasoning.DIGReasoner
org.dllearner.reasoning.FastRetrievalReasoner
org.dllearner.reasoning.FastInstanceChecker
@@ -27,5 +26,4 @@
org.dllearner.algorithms.el.ELLearningAlgorithm
org.dllearner.algorithms.el.ELLearningAlgorithmDisjunctive
org.dllearner.algorithms.celoe.CELOE
-org.dllearner.algorithms.fuzzydll.FuzzyCELOE
org.dllearner.algorithms.isle.ISLE
Modified: trunk/interfaces/src/main/java/org/dllearner/cli/ConfMapper.java
===================================================================
--- trunk/interfaces/src/main/java/org/dllearner/cli/ConfMapper.java 2011-03-16 11:38:50 UTC (rev 2723)
+++ trunk/interfaces/src/main/java/org/dllearner/cli/ConfMapper.java 2011-03-16 21:14:14 UTC (rev 2724)
@@ -31,7 +31,6 @@
import org.dllearner.algorithms.celoe.CELOE;
import org.dllearner.algorithms.el.ELLearningAlgorithm;
import org.dllearner.algorithms.el.ELLearningAlgorithmDisjunctive;
-import org.dllearner.algorithms.fuzzydll.FuzzyCELOE;
import org.dllearner.algorithms.gp.GP;
import org.dllearner.algorithms.ocel.OCEL;
import org.dllearner.algorithms.refinement.ROLearner;
@@ -50,7 +49,6 @@
import org.dllearner.reasoning.FastInstanceChecker;
import org.dllearner.reasoning.FastRetrievalReasoner;
import org.dllearner.reasoning.OWLAPIReasoner;
-import org.dllearner.reasoning.fuzzydll.FuzzyOWLAPIReasoner;
/**
* Contains mappings from component classes to strings.
@@ -92,7 +90,6 @@
knowledgeSourceMapping.put("sparql", SparqlKnowledgeSource.class);
reasonerMapping.put("digReasoner", DIGReasoner.class);
reasonerMapping.put("owlAPIReasoner", OWLAPIReasoner.class);
- reasonerMapping.put("fuzzyOwlAPIReasoner", FuzzyOWLAPIReasoner.class); // added by Josue
reasonerMapping.put("fastInstanceChecker", FastInstanceChecker.class);
reasonerMapping.put("fastRetrievalReasoner", FastRetrievalReasoner.class);
learningProblemMapping.put("posNegLPStandard", PosNegLPStandard.class);
@@ -108,7 +105,6 @@
learningAlgorithmMapping.put("el", ELLearningAlgorithm.class);
learningAlgorithmMapping.put("disjunctiveEL", ELLearningAlgorithmDisjunctive.class);
learningAlgorithmMapping.put("celoe", CELOE.class);
- learningAlgorithmMapping.put("fuzzyCeloe", FuzzyCELOE.class); // added by Josue
// you do not need to edit anything below
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