Uses of Class
org.dllearner.algorithms.qtl.datastructures.impl.RDFResourceTree

Packages that use RDFResourceTree

Package	Description
org.dllearner.algorithms.qtl	Learning algorithm based on so-called query trees which are a tree based representation of a (set of) RDF resource(s)
org.dllearner.algorithms.qtl.datastructures.impl
org.dllearner.algorithms.qtl.heuristics
org.dllearner.algorithms.qtl.impl
org.dllearner.algorithms.qtl.operations
org.dllearner.algorithms.qtl.operations.lgg
org.dllearner.algorithms.qtl.operations.nbr
org.dllearner.algorithms.qtl.operations.nbr.strategy
org.dllearner.algorithms.qtl.operations.tuples
org.dllearner.algorithms.qtl.util
org.dllearner.algorithms.qtl.util.filters

Uses of RDFResourceTree in org.dllearner.algorithms.qtl

Methods in org.dllearner.algorithms.qtl that return RDFResourceTree

Modifier and Type	Method and Description
static RDFResourceTree	QueryTreeUtils.materializePropertyDomains(RDFResourceTree tree, AbstractReasonerComponent reasoner)
static RDFResourceTree	QueryTreeUtils.materializeTypes(RDFResourceTree tree, AbstractReasonerComponent reasoner) Adds all rdf:type statements to each node based on the domain and range of the edges as well as the subClassOf relations between all existing types.

Methods in org.dllearner.algorithms.qtl that return types with arguments of type RDFResourceTree

Modifier and Type	Method and Description
static List<RDFResourceTree>	QueryTreeUtils.getLeafs(RDFResourceTree tree) Returns all nodes in the given query tree.
static List<RDFResourceTree>	QueryTreeUtils.getNodes(RDFResourceTree tree) Returns all nodes in the given query tree.
static List<RDFResourceTree>	QueryTreeUtils.getPathToRoot(RDFResourceTree tree, RDFResourceTree node) Returns the path from the given node to the root of the given tree, i.e.

Methods in org.dllearner.algorithms.qtl with parameters of type RDFResourceTree

Modifier and Type	Method and Description
static void	QueryTreeUtils.asGraph(RDFResourceTree tree, String baseIRI, org.apache.jena.shared.PrefixMapping pm, File outputFile) Export the query tree as GraphML file.
static double	QueryTreeUtils.getComplexity(RDFResourceTree tree) Returns the complexity of the given query tree.
static Set<org.apache.jena.graph.Node>	QueryTreeUtils.getEdges(RDFResourceTree tree) Returns the set of edges that occur in the given query tree, i.e.
static List<RDFResourceTree>	QueryTreeUtils.getLeafs(RDFResourceTree tree) Returns all nodes in the given query tree.
static Set<org.apache.jena.graph.Node>	QueryTreeUtils.getNodeLabels(RDFResourceTree tree) Returns all nodes labels in the given query tree.
static List<RDFResourceTree>	QueryTreeUtils.getNodes(RDFResourceTree tree) Returns all nodes in the given query tree.
static int	QueryTreeUtils.getNrOfEdges(RDFResourceTree tree) Returns the number of edges that occur in the given query tree, which is obviously `n-1` where n is the number of nodes.
static int	QueryTreeUtils.getNrOfNodes(RDFResourceTree tree) Returns the number of nodes in the given query tree, i.e.
static List<RDFResourceTree>	QueryTreeUtils.getPathToRoot(RDFResourceTree tree, RDFResourceTree node) Returns the path from the given node to the root of the given tree, i.e.
static boolean	QueryTreeUtils.isNonTrivial(RDFResourceTree tree, Entailment entailment)
static boolean	QueryTreeUtils.isSubsumedBy(RDFResourceTree tree1, RDFResourceTree tree2) Determines if tree1 is subsumed by tree2, i.e.
static boolean	QueryTreeUtils.isSubsumedBy(RDFResourceTree tree1, RDFResourceTree tree2, AbstractReasonerComponent reasoner, boolean typeNode) Determines if tree1 is subsumed by tree2, i.e.
static boolean	QueryTreeUtils.isSubsumedBy(RDFResourceTree tree1, RDFResourceTree tree2, Entailment entailment) Determines if tree1 is subsumed by tree2, i.e.
static boolean	QueryTreeUtils.isSubsumedBy(RDFResourceTree tree1, RDFResourceTree tree2, Entailment entailment, AbstractReasonerComponent reasoner)
static boolean	QueryTreeUtils.isSubsumedBy(RDFResourceTree tree1, RDFResourceTree tree2, QueryTreeImpl.LiteralNodeSubsumptionStrategy strategy)
static boolean	QueryTreeUtils.isSubsumedBy(RDFResourceTree tree1, RDFResourceTree tree2, SPARQLReasoner reasoner) Determines if tree1 is subsumed by tree2, i.e.
static boolean	QueryTreeUtils.keepMostSpecificTypes(RDFResourceTree tree, AbstractReasonerComponent reasoner) Prune the rdf:type nodes such that only the most specific types remain w.r.t.
static RDFResourceTree	QueryTreeUtils.materializePropertyDomains(RDFResourceTree tree, AbstractReasonerComponent reasoner)
static RDFResourceTree	QueryTreeUtils.materializeTypes(RDFResourceTree tree, AbstractReasonerComponent reasoner) Adds all rdf:type statements to each node based on the domain and range of the edges as well as the subClassOf relations between all existing types.
static String	QueryTreeUtils.printPathToRoot(RDFResourceTree tree, RDFResourceTree node) Print the path from the given node to the root of the given tree, i.e.
static void	QueryTreeUtils.prune(RDFResourceTree tree, AbstractReasonerComponent reasoner, Entailment entailment) Remove trivial statements according to the given entailment semantics:
static void	QueryTreeUtils.rebuildNodeIDs(RDFResourceTree tree) Rebuilds the node IDs starting from the root node.
static boolean	QueryTreeUtils.removeVarLeafs(RDFResourceTree tree) Recursively removes edges that lead to a leaf node which is a variable.
static <N> boolean	QueryTreeUtils.sameTrees(RDFResourceTree tree1, RDFResourceTree tree2)
static org.jgrapht.Graph<Vertex,Edge>	QueryTreeUtils.toGraph(RDFResourceTree tree, String baseIRI, org.apache.jena.shared.PrefixMapping pm) Convert the query tree to a directed labelled graph.
static org.apache.jena.rdf.model.Model	QueryTreeUtils.toModel(RDFResourceTree tree)
static org.apache.jena.rdf.model.Model	QueryTreeUtils.toModel(RDFResourceTree tree, org.apache.jena.rdf.model.Resource subject)
static org.semanticweb.owlapi.model.OWLClassExpression	QueryTreeUtils.toOWLClassExpression(RDFResourceTree tree)
static org.semanticweb.owlapi.model.OWLClassExpression	QueryTreeUtils.toOWLClassExpression(RDFResourceTree tree, QueryTreeImpl.LiteralNodeConversionStrategy literalConversion)
static org.apache.jena.query.Query	QueryTreeUtils.toSPARQLQuery(RDFResourceTree tree) Returns a SPARQL query representing the query tree.
static String	QueryTreeUtils.toSPARQLQueryString(RDFResourceTree tree)
static String	QueryTreeUtils.toSPARQLQueryString(RDFResourceTree tree, List<org.apache.jena.graph.Node> nodes2Select, String baseIRI, org.apache.jena.shared.PrefixMapping pm)
static String	QueryTreeUtils.toSPARQLQueryString(RDFResourceTree tree, org.apache.jena.shared.PrefixMapping pm)
static String	QueryTreeUtils.toSPARQLQueryString(RDFResourceTree tree, String baseIRI, org.apache.jena.shared.PrefixMapping pm)
static String	QueryTreeUtils.toSPARQLQueryString(RDFResourceTree tree, String baseIRI, org.apache.jena.shared.PrefixMapping pm, QueryTreeImpl.LiteralNodeConversionStrategy literalConversion, List<org.apache.jena.graph.Node> nodes2Select)

Method parameters in org.dllearner.algorithms.qtl with type arguments of type RDFResourceTree

Modifier and Type	Method and Description
void	QTL2DisjunctiveMultiThreaded.setNegativeExampleTrees(Map<org.semanticweb.owlapi.model.OWLIndividual,RDFResourceTree> negativeExampleTrees)
void	QTL2Disjunctive.setNegativeExampleTrees(Map<org.semanticweb.owlapi.model.OWLIndividual,RDFResourceTree> negativeExampleTrees)
void	QTL2DisjunctiveMultiThreaded.setPositiveExampleTrees(Map<org.semanticweb.owlapi.model.OWLIndividual,RDFResourceTree> positiveExampleTrees)
void	QTL2Disjunctive.setPositiveExampleTrees(Map<org.semanticweb.owlapi.model.OWLIndividual,RDFResourceTree> positiveExampleTrees)

Uses of RDFResourceTree in org.dllearner.algorithms.qtl.datastructures.impl

Methods in org.dllearner.algorithms.qtl.datastructures.impl that return RDFResourceTree

Modifier and Type	Method and Description
RDFResourceTree	EvaluatedRDFResourceTree.getTree()
static RDFResourceTree	RDFResourceTree.newLiteralNode()
static RDFResourceTree	RDFResourceTree.newVarNode()

Methods in org.dllearner.algorithms.qtl.datastructures.impl that return types with arguments of type RDFResourceTree

Modifier and Type	Method and Description
Set<RDFResourceTree>	EvaluatedRDFResourceTree.getBaseQueryTrees()
List<RDFResourceTree>	RDFResourceTree.getChildren()
List<RDFResourceTree>	RDFResourceTree.getChildren(org.apache.jena.graph.Node edge)
Collection<RDFResourceTree>	EvaluatedRDFResourceTree.getFalseNegatives()
Collection<RDFResourceTree>	EvaluatedRDFResourceTree.getFalsePositives()

Methods in org.dllearner.algorithms.qtl.datastructures.impl with parameters of type RDFResourceTree

Modifier and Type	Method and Description
void	RDFResourceTree.addChild(RDFResourceTree child, org.apache.jena.graph.Node edge)
void	RDFResourceTree.addChildAt(int index, RDFResourceTree child, org.apache.jena.graph.Node_URI edge)
int	RDFResourceTree.compareTo(RDFResourceTree other)
org.apache.jena.graph.Node	RDFResourceTree.getEdgeToChild(RDFResourceTree child) Returns the edge from the current node to the given child node.
void	RDFResourceTree.removeChild(RDFResourceTree child, org.apache.jena.graph.Node edge)
void	RDFResourceTree.replaceChild(RDFResourceTree oldChild, RDFResourceTree newChild, org.apache.jena.graph.Node edge)

Method parameters in org.dllearner.algorithms.qtl.datastructures.impl with type arguments of type RDFResourceTree

Modifier and Type	Method and Description
void	RDFResourceTree.addChildren(List<RDFResourceTree> children, org.apache.jena.graph.Node edge)
void	EvaluatedRDFResourceTree.setBaseQueryTrees(Set<RDFResourceTree> baseQueryTrees)

Constructors in org.dllearner.algorithms.qtl.datastructures.impl with parameters of type RDFResourceTree

Constructor and Description
EvaluatedRDFResourceTree(int id, RDFResourceTree tree, Collection<RDFResourceTree> falseNegatives, Collection<RDFResourceTree> falsePositives, QueryTreeScore score)
EvaluatedRDFResourceTree(RDFResourceTree tree, Collection<RDFResourceTree> falseNegatives, Collection<RDFResourceTree> falsePositives, QueryTreeScore score)
RDFResourceTree(RDFResourceTree tree) Copy constructor that copies - node label - children recursively - datatype (if literal node) - anchor var (if exists)
RDFResourceTree(RDFResourceTree tree, boolean withChildren) Copy constructor that copies - node label - datatype (if literal node) - anchor var (if exists) Children are recursivly copied only if enabled.

Constructor parameters in org.dllearner.algorithms.qtl.datastructures.impl with type arguments of type RDFResourceTree

Constructor and Description
EvaluatedRDFResourceTree(int id, RDFResourceTree tree, Collection<RDFResourceTree> falseNegatives, Collection<RDFResourceTree> falsePositives, QueryTreeScore score)
EvaluatedRDFResourceTree(int id, RDFResourceTree tree, Collection<RDFResourceTree> falseNegatives, Collection<RDFResourceTree> falsePositives, QueryTreeScore score)
EvaluatedRDFResourceTree(RDFResourceTree tree, Collection<RDFResourceTree> falseNegatives, Collection<RDFResourceTree> falsePositives, QueryTreeScore score)
EvaluatedRDFResourceTree(RDFResourceTree tree, Collection<RDFResourceTree> falseNegatives, Collection<RDFResourceTree> falsePositives, QueryTreeScore score)

Uses of RDFResourceTree in org.dllearner.algorithms.qtl.heuristics

Methods in org.dllearner.algorithms.qtl.heuristics with parameters of type RDFResourceTree

Modifier and Type	Method and Description
static <T> double	QueryTreeEditDistance.getDistance(RDFResourceTree tree1, RDFResourceTree tree2)
static <T> double	QueryTreeEditDistance.getDistanceApprox(RDFResourceTree tree1, RDFResourceTree tree2) Returns a distance between tree1 and tree2 based on the LGG of both.
double	QueryTreeInformativeness.getQueryTreeInformativeness(RDFResourceTree tree)

Uses of RDFResourceTree in org.dllearner.algorithms.qtl.impl

Methods in org.dllearner.algorithms.qtl.impl that return RDFResourceTree

Modifier and Type	Method and Description
default RDFResourceTree	QueryTreeFactory.getQueryTree(org.apache.jena.rdf.model.Resource resource, org.apache.jena.rdf.model.Model model) Generates a query tree with the given resource as root and the edges based on the data contained in the model.
RDFResourceTree	QueryTreeFactoryBase.getQueryTree(org.apache.jena.rdf.model.Resource resource, org.apache.jena.rdf.model.Model model, int maxDepth)
RDFResourceTree	QueryTreeFactoryBaseInv.getQueryTree(org.apache.jena.rdf.model.Resource resource, org.apache.jena.rdf.model.Model model, int maxDepth)
RDFResourceTree	QueryTreeFactoryCache.getQueryTree(org.apache.jena.rdf.model.Resource resource, org.apache.jena.rdf.model.Model model, int maxDepth)
RDFResourceTree	QueryTreeFactory.getQueryTree(org.apache.jena.rdf.model.Resource resource, org.apache.jena.rdf.model.Model model, int maxDepth) Generates a query tree with the given resource as root and the edges based on the data contained in the model.
default RDFResourceTree	QueryTreeFactory.getQueryTree(String resource, org.apache.jena.rdf.model.Model model) Generates a query tree with the given resource as root and the edges based on the data contained in the model.
RDFResourceTree	QueryTreeFactoryCache.getQueryTree(String example, org.apache.jena.rdf.model.Model model, int maxDepth)
default RDFResourceTree	QueryTreeFactory.getQueryTree(String resource, org.apache.jena.rdf.model.Model model, int maxDepth) Generates a query tree with the given resource as root and the edges based on the data contained in the model.

Uses of RDFResourceTree in org.dllearner.algorithms.qtl.operations

Methods in org.dllearner.algorithms.qtl.operations that return RDFResourceTree

Modifier and Type	Method and Description
RDFResourceTree	Generalisation.generalise(RDFResourceTree queryTree)

Methods in org.dllearner.algorithms.qtl.operations with parameters of type RDFResourceTree

Modifier and Type	Method and Description
RDFResourceTree	Generalisation.generalise(RDFResourceTree queryTree)

Uses of RDFResourceTree in org.dllearner.algorithms.qtl.operations.lgg

Methods in org.dllearner.algorithms.qtl.operations.lgg that return RDFResourceTree

Modifier and Type	Method and Description
default RDFResourceTree	LGGGenerator.getLGG(List<RDFResourceTree> trees) Returns the Least General Generalization of a list of RDF resource trees.
default RDFResourceTree	LGGGenerator.getLGG(List<RDFResourceTree> trees, boolean learnFilters) Returns the Least General Generalization of a list of RDF resource trees.
default RDFResourceTree	LGGGenerator.getLGG(RDFResourceTree tree1, RDFResourceTree tree2) Returns the Least General Generalization of two RDF resource trees.
RDFResourceTree	AbstractLGGGenerator.getLGG(RDFResourceTree tree1, RDFResourceTree tree2, boolean learnFilters)
RDFResourceTree	LGGGenerator.getLGG(RDFResourceTree tree1, RDFResourceTree tree2, boolean learnFilters) Returns the Least General Generalization of two RDF resource trees.

Methods in org.dllearner.algorithms.qtl.operations.lgg with parameters of type RDFResourceTree

Modifier and Type	Method and Description
default RDFResourceTree	LGGGenerator.getLGG(RDFResourceTree tree1, RDFResourceTree tree2) Returns the Least General Generalization of two RDF resource trees.
RDFResourceTree	AbstractLGGGenerator.getLGG(RDFResourceTree tree1, RDFResourceTree tree2, boolean learnFilters)
RDFResourceTree	LGGGenerator.getLGG(RDFResourceTree tree1, RDFResourceTree tree2, boolean learnFilters) Returns the Least General Generalization of two RDF resource trees.

Method parameters in org.dllearner.algorithms.qtl.operations.lgg with type arguments of type RDFResourceTree

Modifier and Type	Method and Description
default RDFResourceTree	LGGGenerator.getLGG(List<RDFResourceTree> trees) Returns the Least General Generalization of a list of RDF resource trees.
default RDFResourceTree	LGGGenerator.getLGG(List<RDFResourceTree> trees, boolean learnFilters) Returns the Least General Generalization of a list of RDF resource trees.
void	LGGGeneratorExt.setTreeFilters(Set<TreeFilter<RDFResourceTree>> treeFilters)

Uses of RDFResourceTree in org.dllearner.algorithms.qtl.operations.nbr

Methods in org.dllearner.algorithms.qtl.operations.nbr that return RDFResourceTree

Modifier and Type	Method and Description
RDFResourceTree	NBRGenerator.getNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
RDFResourceTree	NBRGeneratorImpl.getNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
RDFResourceTree	NBRGenerator.getNBR(RDFResourceTree posExampleTree, RDFResourceTree negExampleTree)
RDFResourceTree	NBRGeneratorImpl.getNBR(RDFResourceTree posExampleTree, RDFResourceTree negExampleTree)

Methods in org.dllearner.algorithms.qtl.operations.nbr that return types with arguments of type RDFResourceTree

Modifier and Type	Method and Description
List<RDFResourceTree>	NBRGenerator.getNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	NBRGeneratorImpl.getNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	NBRGenerator.getNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees, int limit)
List<RDFResourceTree>	NBRGeneratorImpl.getNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees, int limit)
List<RDFResourceTree>	NBRGenerator.getNBRs(RDFResourceTree posExampleTree, RDFResourceTree negExampleTree)
List<RDFResourceTree>	NBRGeneratorImpl.getNBRs(RDFResourceTree posExampleTree, RDFResourceTree negExampleTree)
List<RDFResourceTree>	NBRGenerator.getNBRs(RDFResourceTree posExampleTree, RDFResourceTree negExampleTree, int limit)
List<RDFResourceTree>	NBRGeneratorImpl.getNBRs(RDFResourceTree posExampleTree, RDFResourceTree negExampleTree, int limit)

Methods in org.dllearner.algorithms.qtl.operations.nbr with parameters of type RDFResourceTree

Modifier and Type	Method and Description
RDFResourceTree	NBRGenerator.getNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
RDFResourceTree	NBRGeneratorImpl.getNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
RDFResourceTree	NBRGenerator.getNBR(RDFResourceTree posExampleTree, RDFResourceTree negExampleTree)
RDFResourceTree	NBRGeneratorImpl.getNBR(RDFResourceTree posExampleTree, RDFResourceTree negExampleTree)
List<RDFResourceTree>	NBRGenerator.getNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	NBRGeneratorImpl.getNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	NBRGenerator.getNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees, int limit)
List<RDFResourceTree>	NBRGeneratorImpl.getNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees, int limit)
List<RDFResourceTree>	NBRGenerator.getNBRs(RDFResourceTree posExampleTree, RDFResourceTree negExampleTree)
List<RDFResourceTree>	NBRGeneratorImpl.getNBRs(RDFResourceTree posExampleTree, RDFResourceTree negExampleTree)
List<RDFResourceTree>	NBRGenerator.getNBRs(RDFResourceTree posExampleTree, RDFResourceTree negExampleTree, int limit)
List<RDFResourceTree>	NBRGeneratorImpl.getNBRs(RDFResourceTree posExampleTree, RDFResourceTree negExampleTree, int limit)

Method parameters in org.dllearner.algorithms.qtl.operations.nbr with type arguments of type RDFResourceTree

Modifier and Type	Method and Description
RDFResourceTree	NBRGenerator.getNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
RDFResourceTree	NBRGeneratorImpl.getNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	NBRGenerator.getNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	NBRGeneratorImpl.getNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	NBRGenerator.getNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees, int limit)
List<RDFResourceTree>	NBRGeneratorImpl.getNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees, int limit)

Uses of RDFResourceTree in org.dllearner.algorithms.qtl.operations.nbr.strategy

Methods in org.dllearner.algorithms.qtl.operations.nbr.strategy that return RDFResourceTree

Modifier and Type	Method and Description
RDFResourceTree	NBRStrategy.computeNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
RDFResourceTree	GreedyNBRStrategy.computeNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
RDFResourceTree	TagNonSubsumingPartsNBRStrategy.computeNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
RDFResourceTree	BruteForceNBRStrategy.computeNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)

Methods in org.dllearner.algorithms.qtl.operations.nbr.strategy that return types with arguments of type RDFResourceTree

Modifier and Type	Method and Description
List<RDFResourceTree>	NBRStrategy.computeNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	GreedyNBRStrategy.computeNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	TagNonSubsumingPartsNBRStrategy.computeNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	BruteForceNBRStrategy.computeNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)

Methods in org.dllearner.algorithms.qtl.operations.nbr.strategy with parameters of type RDFResourceTree

Modifier and Type	Method and Description
RDFResourceTree	NBRStrategy.computeNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
RDFResourceTree	GreedyNBRStrategy.computeNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
RDFResourceTree	TagNonSubsumingPartsNBRStrategy.computeNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
RDFResourceTree	BruteForceNBRStrategy.computeNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	NBRStrategy.computeNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	GreedyNBRStrategy.computeNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	TagNonSubsumingPartsNBRStrategy.computeNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	BruteForceNBRStrategy.computeNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)

Method parameters in org.dllearner.algorithms.qtl.operations.nbr.strategy with type arguments of type RDFResourceTree

Modifier and Type	Method and Description
RDFResourceTree	NBRStrategy.computeNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
RDFResourceTree	GreedyNBRStrategy.computeNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
RDFResourceTree	TagNonSubsumingPartsNBRStrategy.computeNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
RDFResourceTree	BruteForceNBRStrategy.computeNBR(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	NBRStrategy.computeNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	GreedyNBRStrategy.computeNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	TagNonSubsumingPartsNBRStrategy.computeNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)
List<RDFResourceTree>	BruteForceNBRStrategy.computeNBRs(RDFResourceTree posExampleTree, List<RDFResourceTree> negExampleTrees)

Uses of RDFResourceTree in org.dllearner.algorithms.qtl.operations.tuples

Methods in org.dllearner.algorithms.qtl.operations.tuples that return types with arguments of type RDFResourceTree

Modifier and Type	Method and Description
List<Map.Entry<RDFResourceTree,List<org.apache.jena.graph.Node>>>	QTLTuples.run(List<List<org.apache.jena.graph.Node>> tuples) Run the QTL algorithm given the list of tuples as input examples.

Method parameters in org.dllearner.algorithms.qtl.operations.tuples with type arguments of type RDFResourceTree

Modifier and Type	Method and Description
boolean	QTLTuples.addTreeFilter(AbstractTreeFilter<RDFResourceTree> treeFilter)
boolean	QTLTuples.removeTreeFilter(AbstractTreeFilter<RDFResourceTree> treeFilter)

Uses of RDFResourceTree in org.dllearner.algorithms.qtl.util

Methods in org.dllearner.algorithms.qtl.util that return RDFResourceTree

Modifier and Type	Method and Description
RDFResourceTree	QueryTreePoint.getQueryTree()

Constructors in org.dllearner.algorithms.qtl.util with parameters of type RDFResourceTree

Constructor and Description
QueryTreePoint(RDFResourceTree queryTree)

Uses of RDFResourceTree in org.dllearner.algorithms.qtl.util.filters

Methods in org.dllearner.algorithms.qtl.util.filters that return RDFResourceTree

Modifier and Type	Method and Description
RDFResourceTree	PredicateExistenceFilter.apply(RDFResourceTree tree)
RDFResourceTree	SymmetricPredicatesFilter.apply(RDFResourceTree tree)
RDFResourceTree	MostSpecificTypesFilter.apply(RDFResourceTree tree)

Methods in org.dllearner.algorithms.qtl.util.filters with parameters of type RDFResourceTree

Modifier and Type	Method and Description
RDFResourceTree	PredicateExistenceFilter.apply(RDFResourceTree tree)
RDFResourceTree	SymmetricPredicatesFilter.apply(RDFResourceTree tree)
RDFResourceTree	MostSpecificTypesFilter.apply(RDFResourceTree tree)