org.dllearner.learningproblems

Class PosNegUndLP

java.lang.Object

org.dllearner.core.AbstractComponent

org.dllearner.core.AbstractLearningProblem<T,org.semanticweb.owlapi.model.OWLClassExpression,EvaluatedDescription<T>>

org.dllearner.core.AbstractClassExpressionLearningProblem<ScorePosNeg<org.semanticweb.owlapi.model.OWLNamedIndividual>>

org.dllearner.learningproblems.PosNegLP

org.dllearner.learningproblems.PosNegLPStandard

org.dllearner.learningproblems.PosNegUndLP

All Implemented Interfaces:

Cloneable, Component, LearningProblem

public class PosNegUndLP
extends PosNegLPStandard
implements Cloneable

A ternary learning problem (positive, negative and uncertain instances) to manage the problem of the Open World Assumption typically employed for ontologies

Author:

Utente

Constructor Summary

Constructors

Constructor and Description
PosNegUndLP()
PosNegUndLP(AbstractReasonerComponent reasoner)
PosNegUndLP(AbstractReasonerComponent reasoningService, SortedSet<org.semanticweb.owlapi.model.OWLIndividual> positiveExamples, SortedSet<org.semanticweb.owlapi.model.OWLIndividual> negativeExamples, SortedSet<org.semanticweb.owlapi.model.OWLIndividual> uncertainExamples)

Method Summary

Modifier and Type	Method and Description
Set<org.semanticweb.owlapi.model.OWLIndividual>	getNegativeExamples()
Set<org.semanticweb.owlapi.model.OWLIndividual>	getPositiveExamples()
PosNegLP	getPosNegLP() A method for binarizing a ternary learning problem.
Set<org.semanticweb.owlapi.model.OWLIndividual>	getUncertainExamples()
void	init() Method to be called after the component has been configured.
void	setUncertainExamples(Set<org.semanticweb.owlapi.model.OWLIndividual> uncertainExample)

Methods inherited from class org.dllearner.learningproblems.PosNegLPStandard

clone, computeScore, evaluate, getAccuracyOrTooWeak

Methods inherited from class org.dllearner.learningproblems.PosNegLP

getAccuracyMethod, getPercentPerLengthUnit, isUseRetrievalForClassification, setAccuracyMethod, setNegativeExamples, setPercentPerLengthUnit, setPositiveExamples, setUseRetrievalForClassification

Methods inherited from class org.dllearner.core.AbstractClassExpressionLearningProblem

changeReasonerComponent, getExampleLoaderHelper, getReasoningUtil, setExampleLoaderHelper, setReasoner, setReasoningUtil

Methods inherited from class org.dllearner.core.AbstractLearningProblem

computeScore, evaluate, getAccuracyOrTooWeak, getReasoner

Methods inherited from class org.dllearner.core.AbstractComponent

isInitialized

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

PosNegUndLP

public PosNegUndLP()

PosNegUndLP

public PosNegUndLP(AbstractReasonerComponent reasoner)

PosNegUndLP

public PosNegUndLP(AbstractReasonerComponent reasoningService,
                   SortedSet<org.semanticweb.owlapi.model.OWLIndividual> positiveExamples,
                   SortedSet<org.semanticweb.owlapi.model.OWLIndividual> negativeExamples,
                   SortedSet<org.semanticweb.owlapi.model.OWLIndividual> uncertainExamples)

Method Detail

getPositiveExamples

public Set<org.semanticweb.owlapi.model.OWLIndividual> getPositiveExamples()

Overrides:

getPositiveExamples in class PosNegLP

getNegativeExamples

public Set<org.semanticweb.owlapi.model.OWLIndividual> getNegativeExamples()

Overrides:

getNegativeExamples in class PosNegLP

getUncertainExamples

public Set<org.semanticweb.owlapi.model.OWLIndividual> getUncertainExamples()

setUncertainExamples

public void setUncertainExamples(Set<org.semanticweb.owlapi.model.OWLIndividual> uncertainExample)

init

public void init()
          throws ComponentInitException

Description copied from interface: Component

Method to be called after the component has been configured. Implementation of components can overwrite this method to perform setup and initialisation tasks for this component.

Specified by:

init in interface Component

Overrides:

init in class PosNegLPStandard

Throws:

ComponentInitException - This exception is thrown if any exceptions occur within the initialisation process of this component. As component developer, you are encouraged to re-throw occurring exception as ComponentInitException and giving an error message as well as the actually exception by using the constructor ComponentInitException(String, Throwable).

getPosNegLP

public PosNegLP getPosNegLP()

A method for binarizing a ternary learning problem. This is important to work if you want to run a method such as CELOE starting from randomly generated queries

Returns:

the pos/neg learning problem