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[DL-Learner SVN] SF.net SVN: dl-learner:[3450] trunk
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From: <jen...@us...> - 2011-11-30 11:50:40
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Revision: 3450
http://dl-learner.svn.sourceforge.net/dl-learner/?rev=3450&view=rev
Author: jenslehmann
Date: 2011-11-30 11:50:32 +0000 (Wed, 30 Nov 2011)
Log Message:
-----------
annotated config options in CELOE
Modified Paths:
--------------
trunk/components-core/src/main/java/org/dllearner/algorithms/celoe/CELOE.java
trunk/interfaces/doc/configOptions.html
Modified: trunk/components-core/src/main/java/org/dllearner/algorithms/celoe/CELOE.java
===================================================================
--- trunk/components-core/src/main/java/org/dllearner/algorithms/celoe/CELOE.java 2011-11-29 18:15:18 UTC (rev 3449)
+++ trunk/components-core/src/main/java/org/dllearner/algorithms/celoe/CELOE.java 2011-11-30 11:50:32 UTC (rev 3450)
@@ -30,8 +30,6 @@
import java.util.SortedSet;
import java.util.TreeSet;
-import javax.sound.midi.SysexMessage;
-
import org.apache.log4j.Logger;
import org.dllearner.core.AbstractCELA;
import org.dllearner.core.AbstractLearningProblem;
@@ -39,18 +37,12 @@
import org.dllearner.core.ComponentAnn;
import org.dllearner.core.ComponentInitException;
import org.dllearner.core.EvaluatedDescription;
-import org.dllearner.core.options.BooleanConfigOption;
-import org.dllearner.core.options.CommonConfigOptions;
-import org.dllearner.core.options.ConfigOption;
-import org.dllearner.core.options.DoubleConfigOption;
-import org.dllearner.core.options.StringConfigOption;
+import org.dllearner.core.config.ConfigOption;
import org.dllearner.core.owl.ClassHierarchy;
import org.dllearner.core.owl.Description;
import org.dllearner.core.owl.Individual;
import org.dllearner.core.owl.Intersection;
import org.dllearner.core.owl.NamedClass;
-import org.dllearner.core.owl.ObjectProperty;
-import org.dllearner.core.owl.ObjectSomeRestriction;
import org.dllearner.core.owl.Restriction;
import org.dllearner.core.owl.Thing;
import org.dllearner.learningproblems.ClassLearningProblem;
@@ -94,6 +86,7 @@
private RefinementOperator operator;
private DescriptionMinimizer minimizer;
+ @ConfigOption(name="useMinimizer", defaultValue="true", description="Specifies whether returned expressions should be minimised by removing those parts, which are not needed. (Basically the minimiser tries to find the shortest expression which is equivalent to the learned expression). Turning this feature off may improve performance.")
private boolean useMinimizer = true;
// all nodes in the search tree (used for selecting most promising node)
@@ -102,6 +95,7 @@
// root of search tree
private OENode startNode;
// the class with which we start the refinement process
+ @ConfigOption(name = "startClass", defaultValue="owl:Thing", description="You can specify a start class for the algorithm. To do this, you have to use Manchester OWL syntax without using prefixes.")
private Description startClass;
// all descriptions in the search tree plus those which were too weak (for fast redundancy check)
@@ -111,6 +105,7 @@
// if true, then each solution is evaluated exactly instead of approximately
// private boolean exactBestDescriptionEvaluation = false;
+ @ConfigOption(name = "singleSuggestionMode", defaultValue="false", description="Use this if you are interested in only one suggestion and your learning problem has many (more than 1000) examples.")
private boolean singleSuggestionMode;
private Description bestDescription;
private double bestAccuracy = Double.MIN_VALUE;
@@ -156,27 +151,37 @@
Set<NamedClass> allowedConcepts = null;
Set<NamedClass> ignoredConcepts = null;
+ @ConfigOption(name = "writeSearchTree", defaultValue="false", description="specifies whether to write a search tree")
private boolean writeSearchTree = false;
+ @ConfigOption(name = "searchTreeFile", defaultValue="log/searchTree.txt", description="file to use for the search tree")
private String searchTreeFile = "log/searchTree.txt";
+ @ConfigOption(name = "replaceSearchTree", defaultValue="false", description="specifies whether to replace the search tree in the log file after each run or append the new search tree")
+ private boolean replaceSearchTree = false;
+
+ @ConfigOption(name = "maxNrOfResults", defaultValue="10", description="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).")
private int maxNrOfResults = 10;
+ @ConfigOption(name = "noisePercentage", defaultValue="0.0", description="the (approximated) percentage of noise within the examples")
private double noisePercentage = 0.0;
+ @ConfigOption(name = "filterDescriptionsFollowingFromKB", defaultValue="false", description="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.")
private boolean filterDescriptionsFollowingFromKB = false;
+ @ConfigOption(name = "reuseExistingDescription", defaultValue="false", description="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.")
private boolean reuseExistingDescription = false;
- private boolean replaceSearchTree = false;
-
+ @ConfigOption(name = "maxClassDescriptionTests", defaultValue="0", description="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.)")
private int maxClassDescriptionTests = 0;
- @org.dllearner.core.config.ConfigOption(defaultValue = "10", name = "maxExecutionTimeInSeconds", description = "maximum execution of the algorithm in seconds")
+ @ConfigOption(defaultValue = "10", name = "maxExecutionTimeInSeconds", description = "maximum execution of the algorithm in seconds")
private int maxExecutionTimeInSeconds = 10;
+ @ConfigOption(name = "terminateOnNoiseReached", defaultValue="false", description="specifies whether to terminate when noise criterion is met")
private boolean terminateOnNoiseReached = false;
+ @ConfigOption(name = "maxDepth", defaultValue="7", description="maximum depth of description")
private double maxDepth = 7;
// public CELOEConfigurator getConfigurator() {
@@ -192,44 +197,12 @@
// configurator = new CELOEConfigurator(this);
}
- public static Collection<Class<? extends AbstractLearningProblem>> supportedLearningProblems() {
- Collection<Class<? extends AbstractLearningProblem>> problems = new LinkedList<Class<? extends AbstractLearningProblem>>();
- problems.add(AbstractLearningProblem.class);
- return problems;
- }
+// public static Collection<Class<? extends AbstractLearningProblem>> supportedLearningProblems() {
+// Collection<Class<? extends AbstractLearningProblem>> problems = new LinkedList<Class<? extends AbstractLearningProblem>>();
+// problems.add(AbstractLearningProblem.class);
+// return problems;
+// }
- public static Collection<ConfigOption<?>> createConfigOptions() {
- Collection<ConfigOption<?>> options = new LinkedList<ConfigOption<?>>();
- options.add(CommonConfigOptions.useAllConstructor());
- options.add(CommonConfigOptions.useExistsConstructor());
- options.add(CommonConfigOptions.useHasValueConstructor());
- options.add(CommonConfigOptions.useDataHasValueConstructor());
- options.add(CommonConfigOptions.valueFreqencyThreshold());
- options.add(CommonConfigOptions.useCardinalityRestrictions());
- options.add(CommonConfigOptions.cardinalityLimit());
- // by default, we do not use negation (should be configurable in GUI)
- options.add(CommonConfigOptions.useNegation(false));
- options.add(CommonConfigOptions.useBooleanDatatypes());
- options.add(CommonConfigOptions.useDoubleDatatypes());
- options.add(CommonConfigOptions.maxExecutionTimeInSeconds(10));
- options.add(CommonConfigOptions.getNoisePercentage());
- options.add(CommonConfigOptions.getTerminateOnNoiseReached(false));
- options.add(CommonConfigOptions.getMaxDepth(7));
- options.add(CommonConfigOptions.maxNrOfResults(10));
- options.add(CommonConfigOptions.maxClassDescriptionTests());
- options.add(new BooleanConfigOption("singleSuggestionMode", "Use this if you are interested in only one suggestion and your learning problem has many (more than 1000) examples.", false));
- options.add(CommonConfigOptions.getInstanceBasedDisjoints());
- options.add(new BooleanConfigOption("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.", false));
- options.add(new BooleanConfigOption("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.", false));
- options.add(new BooleanConfigOption("writeSearchTree", "specifies whether to write a search tree", false));
- options.add(new StringConfigOption("searchTreeFile","file to use for the search tree", "log/searchTree.txt"));
- options.add(new BooleanConfigOption("replaceSearchTree","specifies whether to replace the search tree in the log file after each run or append the new search tree", false));
- options.add(new DoubleConfigOption("expansionPenaltyFactor","heuristic penalty per syntactic construct used (lower = finds more complex expression, but might miss simple ones)", 0.1));
- options.add(CommonConfigOptions.allowedConcepts());
- options.add(CommonConfigOptions.ignoredConcepts());
- return options;
- }
-
public static String getName() {
return "CELOE";
}
Modified: trunk/interfaces/doc/configOptions.html
===================================================================
--- trunk/interfaces/doc/configOptions.html 2011-11-29 18:15:18 UTC (rev 3449)
+++ trunk/interfaces/doc/configOptions.html 2011-11-30 11:50:32 UTC (rev 3450)
@@ -21,7 +21,10 @@
<div class="LearningAlgorithm ClassExpressionLearningAlgorithm"><li><a href="#org.dllearner.algorithms.BruteForceLearner">Brute Force Learner</a></li></div>
<div class="LearningAlgorithm ClassExpressionLearningAlgorithm"><li><a href="#org.dllearner.algorithms.celoe.CELOE">CELOE</a></li></div>
<div class="LearningProblem"><li><a href="#org.dllearner.learningproblems.ClassLearningProblem">ClassLearningProblem</a></li></div>
-<div class="KnowledgeSource"><li><a href="#org.dllearner.kb.KBFile">KB file</a></li></div>
+<div class="LearningAlgorithm ClassExpressionLearningAlgorithm"><li><a href="#org.dllearner.algorithms.fuzzydll.FuzzyCELOE">Fuzzy CELOE</a></li></div>
+<div class="ReasonerComponent"><li><a href="#org.dllearner.reasoning.fuzzydll.FuzzyOWLAPIReasoner">Fuzzy OWL API Reasoner</a></li></div>
+<div class="LearningProblem"><li><a href="#org.dllearner.learningproblems.FuzzyPosNegLPStandard">FuzzyPosNegLPStandard</a></li></div>
+<div class="KnowledgeSource"><li><a href="#org.dllearner.kb.KBFile">KB File</a></li></div>
<div class="ReasonerComponent"><li><a href="#org.dllearner.reasoning.OWLAPIReasoner">OWL API Reasoner</a></li></div>
<div class="LearningAlgorithm ClassExpressionLearningAlgorithm"><li><a href="#org.dllearner.algorithms.ocel.OCEL">OWL Class Expression Learner</a></li></div>
<div class="KnowledgeSource"><li><a href="#org.dllearner.kb.OWLFile">OWL File</a></li></div>
@@ -46,6 +49,7 @@
<div class="LearningAlgorithm AxiomLearningAlgorithm"><li><a href="#org.dllearner.algorithms.properties.ObjectPropertyDomainAxiomLearner">objectproperty domain axiom learner</a></li></div>
<div class="LearningAlgorithm AxiomLearningAlgorithm"><li><a href="#org.dllearner.algorithms.properties.ObjectPropertyRangeAxiomLearner">objectproperty range learner</a></li></div>
<div class="LearningProblem"><li><a href="#org.dllearner.learningproblems.PosOnlyLP">positive only learning problem</a></li></div>
+<div class="LearningAlgorithm"><li><a href="#org.dllearner.algorithm.qtl.QTL">query tree learner</a></li></div>
<div class="RefinementOperator"><li><a href="#org.dllearner.refinementoperators.RhoDRDown">rho refinement operator</a></li></div>
<div class="LearningAlgorithm AxiomLearningAlgorithm ClassExpressionLearningAlgorithm"><li><a href="#org.dllearner.algorithms.SimpleSubclassLearner">simple subclass learner</a></li></div>
<div class="LearningAlgorithm AxiomLearningAlgorithm"><li><a href="#org.dllearner.algorithms.properties.SymmetricObjectPropertyAxiomLearner">symmetric objectproperty axiom learner</a></li></div>
@@ -54,12 +58,35 @@
<div class="LearningAlgorithm ClassExpressionLearningAlgorithm"><a name="org.dllearner.algorithms.BruteForceLearner"><h2>Brute Force Learner</h2></a>
<p>short name: bruteForce<br />version: 0.8<br />implements: LearningAlgorithm, ClassExpressionLearningAlgorithm<br /></p>This component does not have configuration options.</div>
<div class="LearningAlgorithm ClassExpressionLearningAlgorithm"><a name="org.dllearner.algorithms.celoe.CELOE"><h2>CELOE</h2></a>
-<p>short name: celoe<br />version: 1.0<br />implements: LearningAlgorithm, ClassExpressionLearningAlgorithm<br />description: CELOE is an adapted and extended version of the OCEL algorithm applied for the ontology engineering use case. See http://jens-lehmann.org/files/2011/celoe.pdf for reference.<br /></p>This component does not have configuration options.</div>
+<p>short name: celoe<br />version: 1.0<br />implements: LearningAlgorithm, ClassExpressionLearningAlgorithm<br />description: CELOE is an adapted and extended version of the OCEL algorithm applied for the ontology engineering use case. See http://jens-lehmann.org/files/2011/celoe.pdf for reference.<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
+<tr><td>useMinimizer</td><td>Specifies whether returned expressions should be minimised by removing those parts, which are not needed. (Basically the minimiser tries to find the shortest expression which is equivalent to the learned expression). Turning this feature off may improve performance.</td><td> boolean</td><td>true</td><td> false</td></tr>
+<tr><td>terminateOnNoiseReached</td><td>specifies whether to terminate when noise criterion is met</td><td> boolean</td><td>false</td><td> false</td></tr>
+<tr><td>reuseExistingDescription</td><td>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.</td><td> boolean</td><td>false</td><td> false</td></tr>
+<tr><td>filterDescriptionsFollowingFromKB</td><td>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.</td><td> boolean</td><td>false</td><td> false</td></tr>
+<tr><td>maxClassDescriptionTests</td><td>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.)</td><td> int</td><td>0</td><td> false</td></tr>
+<tr><td>maxDepth</td><td>maximum depth of description</td><td> double</td><td>7</td><td> false</td></tr>
+<tr><td>singleSuggestionMode</td><td>Use this if you are interested in only one suggestion and your learning problem has many (more than 1000) examples.</td><td> boolean</td><td>false</td><td> false</td></tr>
+<tr><td>noisePercentage</td><td>the (approximated) percentage of noise within the examples</td><td> double</td><td>0.0</td><td> false</td></tr>
+<tr><td>maxExecutionTimeInSeconds</td><td>maximum execution of the algorithm in seconds</td><td> int</td><td>10</td><td> false</td></tr>
+<tr><td>writeSearchTree</td><td>specifies whether to write a search tree</td><td> boolean</td><td>false</td><td> false</td></tr>
+<tr><td>startClass</td><td>You can specify a start class for the algorithm. To do this, you have to use Manchester OWL syntax without using prefixes.</td><td> Description</td><td>owl:Thing</td><td> false</td></tr>
+<tr><td>maxNrOfResults</td><td>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).</td><td> int</td><td>10</td><td> false</td></tr>
+<tr><td>searchTreeFile</td><td>file to use for the search tree</td><td> String</td><td>log/searchTree.txt</td><td> false</td></tr>
+<tr><td>replaceSearchTree</td><td>specifies whether to replace the search tree in the log file after each run or append the new search tree</td><td> boolean</td><td>false</td><td> false</td></tr>
+</tbody></table>
+</div>
<div class="LearningProblem"><a name="org.dllearner.learningproblems.ClassLearningProblem"><h2>ClassLearningProblem</h2></a>
<p>short name: clp<br />version: 0.6<br />implements: LearningProblem<br /></p>This component does not have configuration options.</div>
-<div class="KnowledgeSource"><a name="org.dllearner.kb.KBFile"><h2>KB file</h2></a>
+<div class="LearningAlgorithm ClassExpressionLearningAlgorithm"><a name="org.dllearner.algorithms.fuzzydll.FuzzyCELOE"><h2>Fuzzy CELOE</h2></a>
+<p>short name: fceloe<br />version: 0.2<br />implements: LearningAlgorithm, ClassExpressionLearningAlgorithm<br />description: See Fuzzy DL-Learner paper published at ISDA 2011.<br /></p>This component does not have configuration options.</div>
+<div class="ReasonerComponent"><a name="org.dllearner.reasoning.fuzzydll.FuzzyOWLAPIReasoner"><h2>Fuzzy OWL API Reasoner</h2></a>
+<p>short name: foar<br />version: 0.2<br />implements: ReasonerComponent<br /></p>This component does not have configuration options.</div>
+<div class="LearningProblem"><a name="org.dllearner.learningproblems.FuzzyPosNegLPStandard"><h2>FuzzyPosNegLPStandard</h2></a>
+<p>short name: fuzzyPosNeg<br />version: 0.2<br />implements: LearningProblem<br /></p>This component does not have configuration options.</div>
+<div class="KnowledgeSource"><a name="org.dllearner.kb.KBFile"><h2>KB File</h2></a>
<p>short name: kbfile<br />version: 0.8<br />implements: KnowledgeSource<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>url</td><td>URL pointer to the KB file</td><td> String</td><td></td><td> false</td></tr>
+<tr><td>fileName</td><td>relative or absolute path to KB file</td><td> String</td><td></td><td> false</td></tr>
</tbody></table>
</div>
<div class="ReasonerComponent"><a name="org.dllearner.reasoning.OWLAPIReasoner"><h2>OWL API Reasoner</h2></a>
@@ -75,17 +102,17 @@
<div class="LearningProblem"><a name="org.dllearner.learningproblems.PosNegLPStandard"><h2>PosNegLPStandard</h2></a>
<p>short name: posNegStandard<br />version: 0.8<br />implements: LearningProblem<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>accuracyMethod</td><td>Specifies, which method/function to use for computing accuracy.</td><td> String</td><td>predacc</td><td> false</td></tr>
+<tr><td>useApproximations</td><td>Use Approximations</td><td> boolean</td><td>false</td><td> false</td></tr>
<tr><td>approxDelta</td><td>The Approximate Delta</td><td> double</td><td>0.05</td><td> false</td></tr>
-<tr><td>useApproximations</td><td>Use Approximations</td><td> boolean</td><td>false</td><td> false</td></tr>
</tbody></table>
</div>
<div class="LearningAlgorithm ClassExpressionLearningAlgorithm"><a name="org.dllearner.algorithms.RandomGuesser"><h2>Random Guesser</h2></a>
<p>short name: randomGuesser<br />version: 0.8<br />implements: LearningAlgorithm, ClassExpressionLearningAlgorithm<br /></p>This component does not have configuration options.</div>
<div class="KnowledgeSource"><a name="org.dllearner.kb.SparqlEndpointKS"><h2>SPARQL endpoint</h2></a>
<p>short name: sparql<br />version: 0.2<br />implements: KnowledgeSource<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
+<tr><td>defaultGraphs</td><td>no description available</td><td> List</td><td>[]</td><td> false</td></tr>
<tr><td>namedGraphs</td><td>no description available</td><td> List</td><td>[]</td><td> false</td></tr>
<tr><td>url</td><td>no description available</td><td> URL</td><td></td><td> true</td></tr>
-<tr><td>defaultGraphs</td><td>no description available</td><td> List</td><td>[]</td><td> false</td></tr>
</tbody></table>
</div>
<div class="KnowledgeSource"><a name="org.dllearner.kb.sparql.SparqlKnowledgeSource"><h2>SPARQL endpoint fragment</h2></a>
@@ -93,49 +120,41 @@
<div class="LearningAlgorithm AxiomLearningAlgorithm"><a name="org.dllearner.algorithms.properties.SubDataPropertyOfAxiomLearner"><h2>data subPropertyOf axiom learner</h2></a>
<p>short name: dplsubprop<br />version: 0.1<br />implements: LearningAlgorithm, AxiomLearningAlgorithm<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>propertyToDescribe</td><td></td><td> DatatypeProperty</td><td></td><td> false</td></tr>
-<tr><td>maxFetchedRows</td><td>The maximum number of rows fetched from the endpoint to approximate the result.</td><td> int</td><td></td><td> false</td></tr>
</tbody></table>
</div>
<div class="LearningAlgorithm AxiomLearningAlgorithm"><a name="org.dllearner.algorithms.properties.DataPropertyDomainAxiomLearner"><h2>dataproperty domain axiom learner</h2></a>
<p>short name: dpldomain<br />version: 0.1<br />implements: LearningAlgorithm, AxiomLearningAlgorithm<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>propertyToDescribe</td><td></td><td> DatatypeProperty</td><td></td><td> false</td></tr>
-<tr><td>maxFetchedRows</td><td>The maximum number of rows fetched from the endpoint to approximate the result.</td><td> int</td><td></td><td> false</td></tr>
</tbody></table>
</div>
<div class="LearningAlgorithm AxiomLearningAlgorithm"><a name="org.dllearner.algorithms.properties.DataPropertyRangeAxiomLearner"><h2>dataproperty range learner</h2></a>
<p>short name: dblrange<br />version: 0.1<br />implements: LearningAlgorithm, AxiomLearningAlgorithm<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>propertyToDescribe</td><td></td><td> DatatypeProperty</td><td></td><td> false</td></tr>
-<tr><td>maxFetchedRows</td><td>The maximum number of rows fetched from the endpoint to approximate the result.</td><td> int</td><td></td><td> false</td></tr>
</tbody></table>
</div>
<div class="LearningAlgorithm AxiomLearningAlgorithm ClassExpressionLearningAlgorithm"><a name="org.dllearner.algorithms.DisjointClassesLearner"><h2>disjoint classes learner</h2></a>
<p>short name: cldisjoint<br />version: 0.1<br />implements: LearningAlgorithm, AxiomLearningAlgorithm, ClassExpressionLearningAlgorithm<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
-<tr><td>maxFetchedRows</td><td>The maximum number of rows fetched from the endpoint to approximate the result.</td><td> int</td><td></td><td> false</td></tr>
<tr><td>classToDescribe</td><td></td><td> NamedClass</td><td></td><td> false</td></tr>
</tbody></table>
</div>
<div class="LearningAlgorithm AxiomLearningAlgorithm"><a name="org.dllearner.algorithms.properties.DisjointDataPropertyAxiomLearner"><h2>disjoint dataproperty axiom learner</h2></a>
<p>short name: dpldisjoint<br />version: 0.1<br />implements: LearningAlgorithm, AxiomLearningAlgorithm<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>propertyToDescribe</td><td></td><td> DatatypeProperty</td><td></td><td> false</td></tr>
-<tr><td>maxFetchedRows</td><td>The maximum number of rows fetched from the endpoint to approximate the result.</td><td> int</td><td></td><td> false</td></tr>
</tbody></table>
</div>
<div class="LearningAlgorithm AxiomLearningAlgorithm"><a name="org.dllearner.algorithms.properties.DisjointObjectPropertyAxiomLearner"><h2>disjoint objectproperty axiom learner</h2></a>
<p>short name: opldisjoint<br />version: 0.1<br />implements: LearningAlgorithm, AxiomLearningAlgorithm<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>propertyToDescribe</td><td></td><td> ObjectProperty</td><td></td><td> false</td></tr>
-<tr><td>maxFetchedRows</td><td>The maximum number of rows fetched from the endpoint to approximate the result.</td><td> int</td><td></td><td> false</td></tr>
</tbody></table>
</div>
<div class="LearningAlgorithm AxiomLearningAlgorithm"><a name="org.dllearner.algorithms.properties.EquivalentDataPropertyAxiomLearner"><h2>equivalent dataproperty axiom learner</h2></a>
<p>short name: dplequiv<br />version: 0.1<br />implements: LearningAlgorithm, AxiomLearningAlgorithm<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>propertyToDescribe</td><td></td><td> DatatypeProperty</td><td></td><td> false</td></tr>
-<tr><td>maxFetchedRows</td><td>The maximum number of rows fetched from the endpoint to approximate the result.</td><td> int</td><td></td><td> false</td></tr>
</tbody></table>
</div>
<div class="LearningAlgorithm AxiomLearningAlgorithm"><a name="org.dllearner.algorithms.properties.EquivalentObjectPropertyAxiomLearner"><h2>equivalent objectproperty axiom learner</h2></a>
<p>short name: oplequiv<br />version: 0.1<br />implements: LearningAlgorithm, AxiomLearningAlgorithm<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>propertyToDescribe</td><td></td><td> ObjectProperty</td><td></td><td> false</td></tr>
-<tr><td>maxFetchedRows</td><td>The maximum number of rows fetched from the endpoint to approximate the result.</td><td> int</td><td></td><td> false</td></tr>
</tbody></table>
</div>
<div class="ReasonerComponent"><a name="org.dllearner.reasoning.FastInstanceChecker"><h2>fast instance checker</h2></a>
@@ -147,84 +166,77 @@
<div class="LearningAlgorithm AxiomLearningAlgorithm"><a name="org.dllearner.algorithms.properties.FunctionalDataPropertyAxiomLearner"><h2>functional dataproperty axiom learner</h2></a>
<p>short name: dplfunc<br />version: 0.1<br />implements: LearningAlgorithm, AxiomLearningAlgorithm<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>propertyToDescribe</td><td></td><td> DatatypeProperty</td><td></td><td> false</td></tr>
-<tr><td>maxFetchedRows</td><td>The maximum number of rows fetched from the endpoint to approximate the result.</td><td> int</td><td></td><td> false</td></tr>
</tbody></table>
</div>
<div class="LearningAlgorithm AxiomLearningAlgorithm"><a name="org.dllearner.algorithms.properties.FunctionalObjectPropertyAxiomLearner"><h2>functional objectproperty axiom learner</h2></a>
<p>short name: oplfunc<br />version: 0.1<br />implements: LearningAlgorithm, AxiomLearningAlgorithm<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>propertyToDescribe</td><td></td><td> ObjectProperty</td><td></td><td> false</td></tr>
-<tr><td>maxFetchedRows</td><td>The maximum number of rows fetched from the endpoint to approximate the result.</td><td> int</td><td></td><td> false</td></tr>
</tbody></table>
</div>
<div class="LearningAlgorithm AxiomLearningAlgorithm"><a name="org.dllearner.algorithms.properties.InverseFunctionalObjectPropertyAxiomLearner"><h2>inversefunctional objectproperty axiom learner</h2></a>
<p>short name: oplinvfunc<br />version: 0.1<br />implements: LearningAlgorithm, AxiomLearningAlgorithm<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>propertyToDescribe</td><td></td><td> ObjectProperty</td><td></td><td> false</td></tr>
-<tr><td>maxFetchedRows</td><td>The maximum number of rows fetched from the endpoint to approximate the result.</td><td> int</td><td></td><td> false</td></tr>
</tbody></table>
</div>
<div class="OtherComponent"><a name="org.dllearner.algorithms.ocel.MultiHeuristic"><h2>multiple criteria heuristic</h2></a>
<p>short name: multiheuristic<br />version: 0.7<br />implements: OtherComponent<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
+<tr><td>negationPenalty</td><td>no description available</td><td> int</td><td>0</td><td> false</td></tr>
+<tr><td>expansionPenaltyFactor</td><td>no description available</td><td> double</td><td>0.02</td><td> false</td></tr>
<tr><td>negativeWeight</td><td>no description available</td><td> double</td><td>1.0</td><td> false</td></tr>
<tr><td>gainBonusFactor</td><td>no description available</td><td> double</td><td>0.5</td><td> false</td></tr>
+<tr><td>nodeChildPenalty</td><td>no description available</td><td> double</td><td>0.0001</td><td> false</td></tr>
<tr><td>startNodeBonus</td><td>no description available</td><td> double</td><td>0.1</td><td> false</td></tr>
-<tr><td>negationPenalty</td><td>no description available</td><td> int</td><td>0</td><td> false</td></tr>
-<tr><td>nodeChildPenalty</td><td>no description available</td><td> double</td><td>0.0001</td><td> false</td></tr>
-<tr><td>expansionPenaltyFactor</td><td>no description available</td><td> double</td><td>0.02</td><td> false</td></tr>
</tbody></table>
</div>
<div class="LearningAlgorithm AxiomLearningAlgorithm"><a name="org.dllearner.algorithms.properties.SubObjectPropertyOfAxiomLearner"><h2>object subPropertyOf axiom learner</h2></a>
<p>short name: oplsubprop<br />version: 0.1<br />implements: LearningAlgorithm, AxiomLearningAlgorithm<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>propertyToDescribe</td><td></td><td> ObjectProperty</td><td></td><td> false</td></tr>
-<tr><td>maxFetchedRows</td><td>The maximum number of rows fetched from the endpoint to approximate the result.</td><td> int</td><td></td><td> false</td></tr>
</tbody></table>
</div>
<div class="LearningAlgorithm AxiomLearningAlgorithm"><a name="org.dllearner.algorithms.properties.ObjectPropertyDomainAxiomLearner"><h2>objectproperty domain axiom learner</h2></a>
<p>short name: opldomain<br />version: 0.1<br />implements: LearningAlgorithm, AxiomLearningAlgorithm<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>propertyToDescribe</td><td></td><td> ObjectProperty</td><td></td><td> false</td></tr>
-<tr><td>maxFetchedRows</td><td>The maximum number of rows fetched from the endpoint to approximate the result.</td><td> int</td><td></td><td> false</td></tr>
</tbody></table>
</div>
<div class="LearningAlgorithm AxiomLearningAlgorithm"><a name="org.dllearner.algorithms.properties.ObjectPropertyRangeAxiomLearner"><h2>objectproperty range learner</h2></a>
<p>short name: oplrange<br />version: 0.1<br />implements: LearningAlgorithm, AxiomLearningAlgorithm<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>propertyToDescribe</td><td></td><td> ObjectProperty</td><td></td><td> false</td></tr>
-<tr><td>maxFetchedRows</td><td>The maximum number of rows fetched from the endpoint to approximate the result.</td><td> int</td><td></td><td> false</td></tr>
</tbody></table>
</div>
<div class="LearningProblem"><a name="org.dllearner.learningproblems.PosOnlyLP"><h2>positive only learning problem</h2></a>
<p>short name: posonlylp<br />version: 0.6<br />implements: LearningProblem<br /></p>This component does not have configuration options.</div>
+<div class="LearningAlgorithm"><a name="org.dllearner.algorithm.qtl.QTL"><h2>query tree learner</h2></a>
+<p>short name: qtl<br />version: 0.8<br />implements: LearningAlgorithm<br /></p>This component does not have configuration options.</div>
<div class="RefinementOperator"><a name="org.dllearner.refinementoperators.RhoDRDown"><h2>rho refinement operator</h2></a>
<p>short name: rho<br />version: 0.8<br />implements: RefinementOperator<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
-<tr><td>instanceBasedDisjoints</td><td>no description available</td><td> boolean</td><td>true</td><td> false</td></tr>
-<tr><td>useAllConstructor</td><td>no description available</td><td> boolean</td><td>true</td><td> false</td></tr>
-<tr><td>disjointChecks</td><td>no description available</td><td> boolean</td><td>true</td><td> false</td></tr>
+<tr><td>applyAllFilter</td><td>no description available</td><td> boolean</td><td>true</td><td> false</td></tr>
+<tr><td>useNegation</td><td>no description available</td><td> boolean</td><td>true</td><td> false</td></tr>
<tr><td>applyExistsFilter</td><td>no description available</td><td> boolean</td><td>true</td><td> false</td></tr>
+<tr><td>useCardinalityRestrictions</td><td>no description available</td><td> boolean</td><td>true</td><td> false</td></tr>
+<tr><td>useStringDatatypes</td><td>no description available</td><td> boolean</td><td>false</td><td> false</td></tr>
<tr><td>useHasValueConstructor</td><td>no description available</td><td> boolean</td><td>false</td><td> false</td></tr>
-<tr><td>applyAllFilter</td><td>no description available</td><td> boolean</td><td>true</td><td> false</td></tr>
-<tr><td>useStringDatatypes</td><td>no description available</td><td> boolean</td><td>false</td><td> false</td></tr>
<tr><td>useBooleanDatatypes</td><td>no description available</td><td> boolean</td><td>true</td><td> false</td></tr>
<tr><td>useDoubleDatatypes</td><td>no description available</td><td> boolean</td><td>true</td><td> false</td></tr>
+<tr><td>instanceBasedDisjoints</td><td>no description available</td><td> boolean</td><td>true</td><td> false</td></tr>
+<tr><td>useAllConstructor</td><td>no description available</td><td> boolean</td><td>true</td><td> false</td></tr>
+<tr><td>dropDisjuncts</td><td>no description available</td><td> boolean</td><td>false</td><td> false</td></tr>
<tr><td>useExistsConstructor</td><td>no description available</td><td> boolean</td><td>true</td><td> false</td></tr>
-<tr><td>dropDisjuncts</td><td>no description available</td><td> boolean</td><td>false</td><td> false</td></tr>
-<tr><td>useNegation</td><td>no description available</td><td> boolean</td><td>true</td><td> false</td></tr>
-<tr><td>useCardinalityRestrictions</td><td>no description available</td><td> boolean</td><td>true</td><td> false</td></tr>
+<tr><td>disjointChecks</td><td>no description available</td><td> boolean</td><td>true</td><td> false</td></tr>
</tbody></table>
</div>
<div class="LearningAlgorithm AxiomLearningAlgorithm ClassExpressionLearningAlgorithm"><a name="org.dllearner.algorithms.SimpleSubclassLearner"><h2>simple subclass learner</h2></a>
<p>short name: clsub<br />version: 0.1<br />implements: LearningAlgorithm, AxiomLearningAlgorithm, ClassExpressionLearningAlgorithm<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>classToDescribe</td><td></td><td> NamedClass</td><td></td><td> true</td></tr>
-<tr><td>maxFetchedRows</td><td>The maximum number of rows fetched from the endpoint to approximate the result.</td><td> int</td><td></td><td> false</td></tr>
</tbody></table>
</div>
<div class="LearningAlgorithm AxiomLearningAlgorithm"><a name="org.dllearner.algorithms.properties.SymmetricObjectPropertyAxiomLearner"><h2>symmetric objectproperty axiom learner</h2></a>
<p>short name: oplsymm<br />version: 0.1<br />implements: LearningAlgorithm, AxiomLearningAlgorithm<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>propertyToDescribe</td><td></td><td> ObjectProperty</td><td></td><td> false</td></tr>
-<tr><td>maxFetchedRows</td><td>The maximum number of rows fetched from the endpoint to approximate the result.</td><td> int</td><td></td><td> false</td></tr>
</tbody></table>
</div>
<div class="LearningAlgorithm AxiomLearningAlgorithm"><a name="org.dllearner.algorithms.properties.TransitiveObjectPropertyAxiomLearner"><h2>transitive objectproperty axiom learner</h2></a>
<p>short name: opltrans<br />version: 0.1<br />implements: LearningAlgorithm, AxiomLearningAlgorithm<br /></p><table id="hor-minimalist-a"><thead><tr><th>option name</th><th>description</th><th>type</th><th>default value</th><th>required?</th></tr></thead><tbody>
<tr><td>propertyToDescribe</td><td></td><td> ObjectProperty</td><td></td><td> false</td></tr>
-<tr><td>maxFetchedRows</td><td>The maximum number of rows fetched from the endpoint to approximate the result.</td><td> int</td><td></td><td> false</td></tr>
</tbody></table>
</div>
</body></html>
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