org.dllearner.scripts
Class RoleLearning

java.lang.Object
  org.dllearner.scripts.RoleLearning

public class RoleLearning
extends Object

Here are just some code snippets, which can be used The basic algorithm is simple: input: 1. domain or range 2. number of instances n choose domain or range of a role Positive Examples: get the first n instances of domain or range Negative Examples: get the first n instances of range or domain The Queries can be found in SPARQLqueryType

Constructor Summary

RoleLearning(ReasonerComponent reasoningService)

RoleLearning(ReasonerComponent reasoningService, SortedSet<Individual> positiveExamples, SortedSet<Individual> negativeExamples)

Method Summary

void	fromKnowledgeSource()
Set<String>	getDomainInstancesForRole(String role)
static String	getName()
Set<String>	getRangeInstancesForRole(String role)
Set<StringTuple>	getTupelsForRole(URI u)
Set<StringTuple>	getTupelsForRole(URI u, boolean domain)

Methods inherited from class java.lang.Object

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

Constructor Detail

RoleLearning

public RoleLearning(ReasonerComponent reasoningService)

RoleLearning

public RoleLearning(ReasonerComponent reasoningService,
                    SortedSet<Individual> positiveExamples,
                    SortedSet<Individual> negativeExamples)

Method Detail

getName

public static String getName()

getTupelsForRole

public Set<StringTuple> getTupelsForRole(URI u)

getTupelsForRole

public Set<StringTuple> getTupelsForRole(URI u,
                                         boolean domain)

getDomainInstancesForRole

public Set<String> getDomainInstancesForRole(String role)

getRangeInstancesForRole

public Set<String> getRangeInstancesForRole(String role)

fromKnowledgeSource

public void fromKnowledgeSource()