A B C D E F G H I J K L M N O P Q R S T U V W X Y Z _

E

EDGE - Class in org.dllearner.algorithms.probabilistic.parameter.unife.edge

This class is a wrapper for EDGE algorithm.

EDGE() - Constructor for class org.dllearner.algorithms.probabilistic.parameter.unife.edge.EDGE

EDGE(ClassLearningProblem, Set<OWLAxiom>) - Constructor for class org.dllearner.algorithms.probabilistic.parameter.unife.edge.EDGE

Edge - Class in org.dllearner.algorithms.qtl.datastructures.rendering

Edge(long, String) - Constructor for class org.dllearner.algorithms.qtl.datastructures.rendering.Edge

EDGEDistibutedSingleStep - Class in org.dllearner.algorithms.probabilistic.parameter.distributed.unife.edge

EDGEDistibutedSingleStep() - Constructor for class org.dllearner.algorithms.probabilistic.parameter.distributed.unife.edge.EDGEDistibutedSingleStep

EDGEDistributedDynamic - Class in org.dllearner.algorithms.probabilistic.parameter.distributed.unife.edge

EDGEDistributedDynamic() - Constructor for class org.dllearner.algorithms.probabilistic.parameter.distributed.unife.edge.EDGEDistributedDynamic

ELDescriptionEdge<T extends org.semanticweb.owlapi.model.OWLProperty> - Class in org.dllearner.algorithms.el

A (directed) edge in an EL concept tree.

ELDescriptionEdge(T, ELDescriptionNode) - Constructor for class org.dllearner.algorithms.el.ELDescriptionEdge

Constructs and edge given a label and an EL OWLClassExpression tree.

ELDescriptionEdgeComparator - Class in org.dllearner.algorithms.el

ELDescriptionEdgeComparator() - Constructor for class org.dllearner.algorithms.el.ELDescriptionEdgeComparator

ELDescriptionNode - Class in org.dllearner.algorithms.el

Represents an EL description tree, which corresponds to a description in the EL description logic.

ELDescriptionNode(ELDescriptionTree) - Constructor for class org.dllearner.algorithms.el.ELDescriptionNode

Constructs an EL OWLClassExpression tree with empty root label.

ELDescriptionNode(ELDescriptionTree, OWLClass...) - Constructor for class org.dllearner.algorithms.el.ELDescriptionNode

ELDescriptionNode(ELDescriptionTree, TreeSet<OWLClass>) - Constructor for class org.dllearner.algorithms.el.ELDescriptionNode

Constructs an EL OWLClassExpression tree given its root label.

ELDescriptionNode(ELDescriptionTree, OWLDataRange) - Constructor for class org.dllearner.algorithms.el.ELDescriptionNode

Constructs an EL description tree node given a description tree and the data range.

ELDescriptionNode(ELDescriptionNode, OWLObjectProperty, OWLClass...) - Constructor for class org.dllearner.algorithms.el.ELDescriptionNode

ELDescriptionNode(ELDescriptionNode, OWLObjectProperty, Set<OWLClass>) - Constructor for class org.dllearner.algorithms.el.ELDescriptionNode

ELDescriptionNode(ELDescriptionNode, OWLDataProperty, OWLDataRange) - Constructor for class org.dllearner.algorithms.el.ELDescriptionNode

ELDescriptionNodeComparator - Class in org.dllearner.algorithms.el

Compares two EL OWLClassExpression trees.

ELDescriptionNodeComparator() - Constructor for class org.dllearner.algorithms.el.ELDescriptionNodeComparator

ELDescriptionTree - Class in org.dllearner.algorithms.el

Represents an EL description tree.

ELDescriptionTree(AbstractReasonerComponent) - Constructor for class org.dllearner.algorithms.el.ELDescriptionTree

ELDescriptionTree(AbstractReasonerComponent, OWLClassExpression) - Constructor for class org.dllearner.algorithms.el.ELDescriptionTree

Constructs an EL description tree from an EL class expression.

ELDescriptionTreeComparator - Class in org.dllearner.algorithms.el

Compares two EL OWLClassExpression trees by calling ELDescriptionNodeComparator on their root nodes.

ELDescriptionTreeComparator() - Constructor for class org.dllearner.algorithms.el.ELDescriptionTreeComparator

ELDown - Class in org.dllearner.refinementoperators

EL downward refinement operator constructed by Jens Lehmann and Christoph Haase.

ELDown(AbstractReasonerComponent) - Constructor for class org.dllearner.refinementoperators.ELDown

ELDown(AbstractReasonerComponent, boolean) - Constructor for class org.dllearner.refinementoperators.ELDown

ELDown(AbstractReasonerComponent, boolean, ClassHierarchy, ObjectPropertyHierarchy, DatatypePropertyHierarchy) - Constructor for class org.dllearner.refinementoperators.ELDown

ELHeuristic - Interface in org.dllearner.algorithms.el

Marker interface for heuristics in the EL learning algorithms.

ELLearningAlgorithm - Class in org.dllearner.algorithms.el

A learning algorithm for EL, which is based on an ideal refinement operator.

ELLearningAlgorithm() - Constructor for class org.dllearner.algorithms.el.ELLearningAlgorithm

ELLearningAlgorithm(AbstractClassExpressionLearningProblem, AbstractReasonerComponent) - Constructor for class org.dllearner.algorithms.el.ELLearningAlgorithm

ELLearningAlgorithmDisjunctive - Class in org.dllearner.algorithms.el

A learning algorithm for EL, which will based on an ideal refinement operator.

ELLearningAlgorithmDisjunctive() - Constructor for class org.dllearner.algorithms.el.ELLearningAlgorithmDisjunctive

ELLearningAlgorithmDisjunctive(AbstractClassExpressionLearningProblem, AbstractReasonerComponent) - Constructor for class org.dllearner.algorithms.el.ELLearningAlgorithmDisjunctive

EMPTY_QUERY_TREE_QUERY - Static variable in class org.dllearner.algorithms.qtl.QueryTreeUtils

EmptyLGGException - Exception in org.dllearner.algorithms.qtl.exception

EmptyLGGException() - Constructor for exception org.dllearner.algorithms.qtl.exception.EmptyLGGException

enable_tracing() - Method in class org.dllearner.confparser.ConfParserLegacy

Enable tracing.

enable_tracing() - Method in class org.dllearner.parser.KBParser

Enable tracing.

enable_tracing() - Method in class org.dllearner.parser.PrologParser

Enable tracing.

encode(String) - Static method in class org.dllearner.algorithms.qtl.impl.QueryTreeFactoryBase

encode(String) - Static method in class org.dllearner.utilities.URLencodeUTF8

endColumn - Variable in class org.dllearner.confparser.Token

The column number of the last character of this Token.

endColumn - Variable in class org.dllearner.parser.Token

The column number of the last character of this Token.

endLine - Variable in class org.dllearner.confparser.Token

The line number of the last character of this Token.

endLine - Variable in class org.dllearner.parser.Token

The line number of the last character of this Token.

Enrichment - Class in org.dllearner.cli

Command Line Interface for Enrichment.

Enrichment(SparqlEndpoint, OWLEntity, double, int, boolean, boolean, int, int, boolean) - Constructor for class org.dllearner.cli.Enrichment

Enrichment(SparqlEndpointKS, OWLEntity, double, int, boolean, boolean, int, int, boolean) - Constructor for class org.dllearner.cli.Enrichment

EnrichmentServlet - Class in org.dllearner.server

EnrichmentServlet() - Constructor for class org.dllearner.server.EnrichmentServlet

EnrichmentVocabulary - Class in org.dllearner.utilities

EnrichmentVocabulary() - Constructor for class org.dllearner.utilities.EnrichmentVocabulary

Entailment - Enum in org.dllearner.algorithms.qtl.util

EntityCandidateGenerator - Class in org.dllearner.algorithms.isle

EntityCandidateGenerator(OWLOntology) - Constructor for class org.dllearner.algorithms.isle.EntityCandidateGenerator

EntityCandidatesTrie - Interface in org.dllearner.algorithms.isle.index

EntityDependencyMatrix<T> - Class in org.dllearner.algorithms.schema

EntityExtraction - Interface in org.dllearner.algorithms.isle

EntityFrequencyCache - Class in org.dllearner.algorithms.isle.index.syntactic

EntityFrequencyCache() - Constructor for class org.dllearner.algorithms.isle.index.syntactic.EntityFrequencyCache

EntityScorePair - Class in org.dllearner.algorithms.isle.index

Represents a scored entity.

EntityScorePair(OWLEntity, Double) - Constructor for class org.dllearner.algorithms.isle.index.EntityScorePair

EntityTextRetriever - Interface in org.dllearner.algorithms.isle.textretrieval

Interface for methods, which retrieve relevant texts given an entity in an ontology.

EntityTokenizer - Class in org.dllearner.algorithms.isle

EntityTokenizer() - Constructor for class org.dllearner.algorithms.isle.EntityTokenizer

EntryDocument - Interface in org.springframework.schema.beans

A document containing one entry(@http://www.springframework.org/schema/beans) element.

EntryDocument.Factory - Class in org.springframework.schema.beans

A factory class with static methods for creating instances of this type.

EntryDocumentImpl - Class in org.springframework.schema.beans.impl

A document containing one entry(@http://www.springframework.org/schema/beans) element.

EntryDocumentImpl(SchemaType) - Constructor for class org.springframework.schema.beans.impl.EntryDocumentImpl

EntryType - Interface in org.springframework.schema.beans

An XML entryType(@http://www.springframework.org/schema/beans).

EntryType.Factory - Class in org.springframework.schema.beans

A factory class with static methods for creating instances of this type.

EntryTypeImpl - Class in org.springframework.schema.beans.impl

An XML entryType(@http://www.springframework.org/schema/beans).

EntryTypeImpl(SchemaType) - Constructor for class org.springframework.schema.beans.impl.EntryTypeImpl

enumValue() - Method in interface org.springframework.schema.beans.BeanDocument.Bean.Autowire

enumValue() - Method in interface org.springframework.schema.beans.BeansDocument.Beans.DefaultAutowire

enumValue() - Method in interface org.springframework.schema.beans.DefaultableBoolean

EOF - Static variable in interface org.dllearner.confparser.ConfParserLegacyConstants

End of File.

EOF - Static variable in interface org.dllearner.parser.KBParserConstants

End of File.

EOF - Static variable in interface org.dllearner.parser.PrologParserConstants

End of File.

equals(Object) - Method in class org.dllearner.algorithms.isle.index.Annotation

equals(Object) - Method in class org.dllearner.algorithms.isle.index.EntityScorePair

equals(Object) - Method in class org.dllearner.algorithms.isle.index.SemanticAnnotation

equals(Object) - Method in class org.dllearner.algorithms.isle.index.Token

equals(Object) - Method in class org.dllearner.algorithms.isle.metrics.AbstractRelevanceMetric

equals(Object) - Method in class org.dllearner.algorithms.isle.WordNet.LemmaScorePair

equals(Object) - Method in class org.dllearner.algorithms.miles.WeightedDescription

equals(Object) - Method in class org.dllearner.algorithms.ocel.FlexibleHeuristic

equals(Object) - Method in class org.dllearner.algorithms.ocel.LexicographicHeuristic

equals(Object) - Method in class org.dllearner.algorithms.ocel.NodeComparatorStable

equals(Object) - Method in class org.dllearner.algorithms.pattern.OWLAxiomPattern

equals(Object) - Method in class org.dllearner.algorithms.qtl.datastructures.impl.GenericTree

equals(Object) - Method in class org.dllearner.algorithms.qtl.datastructures.impl.QueryTreeChange

equals(Object) - Method in class org.dllearner.algorithms.qtl.datastructures.impl.RDFResourceTree

equals(Object) - Method in class org.dllearner.algorithms.qtl.datastructures.NodeInv

equals(Object) - Method in class org.dllearner.algorithms.qtl.datastructures.rendering.Edge

equals(Object) - Method in class org.dllearner.algorithms.qtl.datastructures.rendering.Vertex

equals(Object) - Method in class org.dllearner.algorithms.qtl.util.SPARQLEndpointEx

equals(Object) - Method in class org.dllearner.core.owl.fuzzydll.FuzzyIndividual

equals(Object) - Method in class org.dllearner.core.owl.OWLNaryBooleanClassExpressionImplExt

equals(Object) - Method in class org.dllearner.core.owl.OWLObjectIntersectionOfImplExt

equals(Object) - Method in class org.dllearner.core.owl.OWLObjectUnionOfImplExt

equals(Object) - Method in class org.dllearner.experiments.MyMonKey

This method is called automatically by a HashMap when this class is used as a HashMap key.

equals(Object) - Method in class org.dllearner.kb.sparql.SparqlEndpoint

equals(Object) - Method in class org.dllearner.prolog.Atom

equals(Object) - Method in class org.dllearner.prolog.Function

equals(Object) - Method in class org.dllearner.prolog.FunctionDefinition

equals(Object) - Method in class org.dllearner.prolog.List

equals(Object) - Method in class org.dllearner.prolog.Literal

equals(Object) - Method in class org.dllearner.prolog.Number

equals(Object) - Method in class org.dllearner.prolog.PredicateDefinition

equals(Object) - Method in class org.dllearner.prolog.PrologConstant

equals(Object) - Method in class org.dllearner.prolog.StringConstant

equals(Object) - Method in class org.dllearner.prolog.Term

equals(Object) - Method in class org.dllearner.prolog.Variable

equals(DescriptionSubsumptionTree.Node) - Method in class org.dllearner.utilities.datastructures.DescriptionSubsumptionTree.Node

== is used, important, when removing nodes from subClasses SortedSet

equals(RDFNodeTuple) - Method in class org.dllearner.utilities.datastructures.RDFNodeTuple

equals(Object) - Method in class org.dllearner.utilities.datastructures.StringTuple

equals(Object) - Method in class org.dllearner.utilities.graph.TypedOWLIndividual

equalsWithAlternativeForms(Token) - Method in class org.dllearner.algorithms.isle.index.Token

Compares the given token to this one including alternative forms.

EquivalentDataPropertyAxiomLearner - Class in org.dllearner.algorithms.properties

EquivalentDataPropertyAxiomLearner(SparqlEndpointKS) - Constructor for class org.dllearner.algorithms.properties.EquivalentDataPropertyAxiomLearner

EquivalentObjectPropertyAxiomLearner - Class in org.dllearner.algorithms.properties

EquivalentObjectPropertyAxiomLearner(SparqlEndpointKS) - Constructor for class org.dllearner.algorithms.properties.EquivalentObjectPropertyAxiomLearner

equivalents - Variable in class org.dllearner.utilities.datastructures.DescriptionSubsumptionTree.Node

holds descriptions of nodes with equivalent classes should be ordered by length

evalCache - Variable in class org.dllearner.algorithms.hybridgp.Psi

evaluate(V) - Method in class org.dllearner.core.AbstractLearningProblem

Evaluates the hypothesis by computing the score and returning an evaluated hypothesis of the correct type (ClassLearningProblem returns EvaluatedDescriptionClass instead of generic EvaluatedDescription).

evaluate(V, double) - Method in class org.dllearner.core.AbstractLearningProblem

Evaluates the hypothesis by computing the score and returning an evaluated hypothesis of the correct type (ClassLearningProblem returns EvaluatedDescriptionClass instead of generic EvaluatedDescription).

evaluate(OWLClassExpression) - Method in class org.dllearner.learningproblems.ClassAsInstanceLearningProblem

evaluate(OWLClassExpression, double) - Method in class org.dllearner.learningproblems.ClassExpressionLearningProblem

evaluate(OWLClassExpression, double) - Method in class org.dllearner.learningproblems.ClassLearningProblem

evaluate(OWLClassExpression) - Method in class org.dllearner.learningproblems.FuzzyPosNegLPStandard

evaluate(OWLClassExpression, double) - Method in class org.dllearner.learningproblems.PosNegLPStandard

evaluate(OWLClassExpression) - Method in class org.dllearner.learningproblems.PosNegLPStrict

evaluate(OWLClassExpression, double) - Method in class org.dllearner.learningproblems.PosOnlyLP

EvaluatedAxiom<T extends org.semanticweb.owlapi.model.OWLAxiom> - Class in org.dllearner.core

EvaluatedAxiom(T, AxiomScore) - Constructor for class org.dllearner.core.EvaluatedAxiom

EvaluatedAxiom(T, AxiomScore, boolean) - Constructor for class org.dllearner.core.EvaluatedAxiom

EvaluatedDescription<S extends Score> - Class in org.dllearner.core

An evaluated class expression is a class expression and its score (with some convenience method and serialisation formats).

EvaluatedDescription(OWLClassExpression, S) - Constructor for class org.dllearner.core.EvaluatedDescription

Constructs an evaluated class expression using its score.

EvaluatedDescriptionClass - Class in org.dllearner.learningproblems

An evaluated OWLClassExpression for learning classes in ontologies.

EvaluatedDescriptionClass(OWLClassExpression, ClassScore) - Constructor for class org.dllearner.learningproblems.EvaluatedDescriptionClass

Constructs an evaluated class expression for learning classes in ontologies.

EvaluatedDescriptionComparator - Class in org.dllearner.utilities.owl

Comparator for evaluated descriptions, which orders them by accuracy as first criterion, length as second criterion, and syntactic structure as third criterion.

EvaluatedDescriptionComparator() - Constructor for class org.dllearner.utilities.owl.EvaluatedDescriptionComparator

EvaluatedDescriptionPosNeg - Class in org.dllearner.learningproblems

This represents a class description, which has been evaluated by the learning algorithm, i.e.

EvaluatedDescriptionPosNeg(OWLClassExpression, ScorePosNeg) - Constructor for class org.dllearner.learningproblems.EvaluatedDescriptionPosNeg

Constructs an evaluated description using its score.

EvaluatedDescriptionPosNegComparator - Class in org.dllearner.utilities.owl

Comparator for evaluated descriptions, which orders them by accuracy as first criterion, length as second criterion, and syntactic structure as third criterion.

EvaluatedDescriptionPosNegComparator() - Constructor for class org.dllearner.utilities.owl.EvaluatedDescriptionPosNegComparator

EvaluatedDescriptionPosOnly - Class in org.dllearner.learningproblems

EvaluatedDescriptionPosOnly(OWLClassExpression, ScorePosOnly) - Constructor for class org.dllearner.learningproblems.EvaluatedDescriptionPosOnly

EvaluatedDescriptionSet - Class in org.dllearner.utilities.owl

A set of evaluated descriptions, which is bound by a maximum size.

EvaluatedDescriptionSet(int) - Constructor for class org.dllearner.utilities.owl.EvaluatedDescriptionSet

EvaluatedHypothesis<T extends org.semanticweb.owlapi.model.OWLObject,S extends Score> - Class in org.dllearner.core

An evaluated hypothesis is a hypothesis and its score.

EvaluatedHypothesis(T, S) - Constructor for class org.dllearner.core.EvaluatedHypothesis

Constructs an evaluated hypothesis using its score.

EvaluatedQueryTree<N> - Class in org.dllearner.algorithms.qtl.operations.lgg

EvaluatedQueryTree(QueryTree<N>, Collection<QueryTree<N>>, Collection<QueryTree<N>>, QueryTreeScore) - Constructor for class org.dllearner.algorithms.qtl.operations.lgg.EvaluatedQueryTree

EvaluatedQueryTree(int, QueryTree<N>, Collection<QueryTree<N>>, Collection<QueryTree<N>>, QueryTreeScore) - Constructor for class org.dllearner.algorithms.qtl.operations.lgg.EvaluatedQueryTree

EvaluatedRDFResourceTree - Class in org.dllearner.algorithms.qtl.datastructures.impl

EvaluatedRDFResourceTree(RDFResourceTree, Collection<RDFResourceTree>, Collection<RDFResourceTree>, QueryTreeScore) - Constructor for class org.dllearner.algorithms.qtl.datastructures.impl.EvaluatedRDFResourceTree

EvaluatedRDFResourceTree(int, RDFResourceTree, Collection<RDFResourceTree>, Collection<RDFResourceTree>, QueryTreeScore) - Constructor for class org.dllearner.algorithms.qtl.datastructures.impl.EvaluatedRDFResourceTree

EvaluationCache - Class in org.dllearner.learningproblems

Caches results of previous concept evaluation to speed up further evaluations.

EvaluationCache(SortedSet<OWLIndividual>) - Constructor for class org.dllearner.learningproblems.EvaluationCache

EvidentialModel - Interface in org.dllearner.algorithms.decisiontrees.dsttdt.models

ExactMatchFilter - Class in org.dllearner.algorithms.qtl.filters

ExactMatchFilter(Set<String>) - Constructor for class org.dllearner.algorithms.qtl.filters.ExactMatchFilter

ExampleBasedHeuristic - Interface in org.dllearner.algorithms.ocel

Marker interface for heuristics in the refinement operator based learning approach.

ExampleBasedNode - Class in org.dllearner.algorithms.ocel

Represents a node in the search tree.

ExampleBasedNode(OWLClassExpression, AbstractCELA) - Constructor for class org.dllearner.algorithms.ocel.ExampleBasedNode

ExampleBasedNode.QualityEvaluationMethod - Enum in org.dllearner.algorithms.ocel

exampleConceptsNeg - Variable in class org.dllearner.core.owl.FlatABox

exampleConceptsPos - Variable in class org.dllearner.core.owl.FlatABox

ExampleContainer - Class in org.dllearner.utilities.examples

A simple container for storing pos and negexamples, basically a more simple parameter or return value.

ExampleContainer(SortedSet<OWLIndividual>, SortedSet<OWLIndividual>) - Constructor for class org.dllearner.utilities.examples.ExampleContainer

ExampleDataCollector - Class in org.dllearner.utilities.examples

Creates a temporary file with all the data collected for examples.

ExampleDataCollector(String, SortedSet<String>, List<File>) - Constructor for class org.dllearner.utilities.examples.ExampleDataCollector

ExampleLoader - Class in org.dllearner.learningproblems

Load positive and negative examples from Class Expression

ExampleLoader() - Constructor for class org.dllearner.learningproblems.ExampleLoader

Examples - Class in org.dllearner.experiments

a container for examples used for operations like randomization

Examples() - Constructor for class org.dllearner.experiments.Examples

default constructor

Examples(SortedSet<String>, SortedSet<String>) - Constructor for class org.dllearner.experiments.Examples

constructor to add training examples

Examples(SortedSet<String>, SortedSet<String>, SortedSet<String>, SortedSet<String>) - Constructor for class org.dllearner.experiments.Examples

adds all examples, doublettes are removed automatically

ExamplesProvider - Interface in org.dllearner.utilities.examples

executeConstructQuery(SparqlEndpoint, String) - Method in class org.dllearner.kb.sparql.ExtractionDBCache

executeConstructQuery(SparqlEndpoint, String, int) - Method in class org.dllearner.kb.sparql.ExtractionDBCache

executeQuery(String, String, OntModel, String) - Method in class org.dllearner.kb.sparql.simple.QueryExecutor

executeSelectQuery(SparqlEndpoint, String) - Method in class org.dllearner.kb.sparql.ExtractionDBCache

executeSelectQuery(SparqlEndpoint, String, int) - Method in class org.dllearner.kb.sparql.ExtractionDBCache

executeSparqlAskQuery(SparqlQuery) - Method in class org.dllearner.kb.sparql.Cache

executeSparqlQuery(SparqlQuery) - Method in class org.dllearner.kb.sparql.Cache

Takes a SPARQL query (which has not been evaluated yet) as argument and returns a JSON result set.

ExistentialRestrictionMaterialization - Class in org.dllearner.reasoning

Materialize the existential restrictions, i.e.

ExistentialRestrictionMaterialization(OWLOntology) - Constructor for class org.dllearner.reasoning.ExistentialRestrictionMaterialization

Exists() - Method in class org.dllearner.parser.KBParser

EXISTS - Static variable in interface org.dllearner.parser.KBParserConstants

RegularExpression Id.

ExMakerCrossFolds - Class in org.dllearner.experiments

ExMakerCrossFolds(Examples) - Constructor for class org.dllearner.experiments.ExMakerCrossFolds

ExMakerFixedSize - Class in org.dllearner.experiments

used to randomize examples and split them into training and test sets gets a fixed number of examples

ExMakerFixedSize(Examples) - Constructor for class org.dllearner.experiments.ExMakerFixedSize

ExMakerFixedSize(Examples, boolean) - Constructor for class org.dllearner.experiments.ExMakerFixedSize

ExMakerRandomizer - Class in org.dllearner.experiments

used to randomize examples and split them into training and test sets gets a percentage of the examples

ExMakerRandomizer(Examples) - Constructor for class org.dllearner.experiments.ExMakerRandomizer

expand(TupleAquisitor, Manipulator) - Method in class org.dllearner.kb.extraction.BlankNode

expand(TupleAquisitor, Manipulator) - Method in class org.dllearner.kb.extraction.ClassNode

expand(TupleAquisitor, Manipulator) - Method in class org.dllearner.kb.extraction.DatatypePropertyNode

expand(TupleAquisitor, Manipulator) - Method in class org.dllearner.kb.extraction.InstanceNode

expand(TupleAquisitor, Manipulator) - Method in class org.dllearner.kb.extraction.LiteralNode

expand(TupleAquisitor, Manipulator) - Method in class org.dllearner.kb.extraction.Node

Nodes are expanded with a certain context, given by the typedSparqlQuery and the manipulator

expand(TupleAquisitor, Manipulator) - Method in class org.dllearner.kb.extraction.ObjectPropertyNode

expand(List<CountInstances.Count>, Map<String, SortedSet<String>>) - Static method in class org.dllearner.scripts.analyse.ScriptDoAll

expandHierarchy(Map<String, SortedSet<String>>) - Method in class org.dllearner.scripts.analyse.Hierarchy

expandNode(String, TupleAquisitor) - Method in class org.dllearner.kb.extraction.ExtractionAlgorithm

most important function expands one example CAVE: the recursion is not a recursion anymore, it was transformed to an iteration

expandProperties(TupleAquisitor, Manipulator, boolean) - Method in class org.dllearner.kb.extraction.BlankNode

expandProperties(TupleAquisitor, Manipulator, boolean) - Method in class org.dllearner.kb.extraction.ClassNode

expandProperties(TupleAquisitor, Manipulator, boolean) - Method in class org.dllearner.kb.extraction.DatatypePropertyNode

expandProperties(TupleAquisitor, Manipulator, boolean) - Method in class org.dllearner.kb.extraction.InstanceNode

expandProperties(TupleAquisitor, Manipulator, boolean) - Method in class org.dllearner.kb.extraction.LiteralNode

expandProperties(TupleAquisitor, Manipulator, boolean) - Method in class org.dllearner.kb.extraction.Node

gets type defs for properties like rdf:type SymmetricProperties

expandProperties(TupleAquisitor, Manipulator, boolean) - Method in class org.dllearner.kb.extraction.ObjectPropertyNode

expectedTokenSequences - Variable in exception org.dllearner.confparser.ParseException

Each entry in this array is an array of integers.

expectedTokenSequences - Variable in exception org.dllearner.parser.ParseException

Each entry in this array is an array of integers.

ExperimentConfiguration - Class in org.dllearner.experiments

An experiment has a certain configuration.

ExperimentConfiguration(String) - Constructor for class org.dllearner.experiments.ExperimentConfiguration

sets sizeOfResultVector to 1, meaning no iterated experiments

ExperimentConfiguration(String, int) - Constructor for class org.dllearner.experiments.ExperimentConfiguration

experimentName - Variable in class org.dllearner.experiments.ExperimentConfiguration

explainScore(EvaluatedAxiom<T>) - Method in class org.dllearner.core.AbstractAxiomLearningAlgorithm

explanation - Static variable in class org.dllearner.utilities.EnrichmentVocabulary

exportAsGraph(Query, File) - Static method in class org.dllearner.utilities.QueryUtils

ExpressionValidation - Class in org.dllearner.cli

Evaluate a class expression on a PosNegLP

ExpressionValidation() - Constructor for class org.dllearner.cli.ExpressionValidation

extendLabel(OWLClass) - Method in class org.dllearner.algorithms.el.ELDescriptionNode

Adds an entry to the node label.

extendSimulation(ELDescriptionNode, ELDescriptionNode) - Method in class org.dllearner.algorithms.el.ELDescriptionTree

extendSimulationSC1(ELDescriptionNode, ELDescriptionNode) - Method in class org.dllearner.algorithms.el.ELDescriptionTree

extendSimulationSC12(ELDescriptionNode, ELDescriptionNode) - Method in class org.dllearner.algorithms.el.ELDescriptionTree

extendSimulationSC2(ELDescriptionNode, ELDescriptionNode) - Method in class org.dllearner.algorithms.el.ELDescriptionTree

extract(Set<String>) - Method in class org.dllearner.kb.extraction.Manager

extractContext(Annotation) - Method in interface org.dllearner.algorithms.isle.wsd.ContextExtractor

extractContext(Annotation) - Method in class org.dllearner.algorithms.isle.wsd.SentenceBasedContextExtractor

extractContext(Annotation) - Method in class org.dllearner.algorithms.isle.wsd.WindowBasedContextExtractor

extractEntities() - Method in interface org.dllearner.algorithms.isle.EntityExtraction

Extracts all entities contained in the working text with some confidence value.

extractEntities(EntityType<OWLEntity>) - Method in interface org.dllearner.algorithms.isle.EntityExtraction

Extracts all entities of the given type contained in the working text with some confidence value.

extractFragment(OWLClass, int) - Method in interface org.dllearner.algorithms.pattern.FragmentExtractor

Extracts a fragment of the knowledge base for the given class C with a max.

extractFragment(OWLClass, int) - Method in class org.dllearner.algorithms.pattern.IndividualBasedFragmentExtractor

extractFragment(OWLClass, int) - Method in class org.dllearner.algorithms.pattern.TimeBasedFragmentExtractor

extractIncomingTriplePatterns(Query, Node) - Method in class org.dllearner.utilities.QueryUtils

Returns all triple patterns in given SPARQL query that have the given node in object position, i.e.

extractIncomingTriplePatternsForProjectionVars(Query) - Method in class org.dllearner.utilities.QueryUtils

Returns triple patterns for each projection variable v such that v is in subject position.

extractIncomingTriplePatternsTrans(Query, Node) - Method in class org.dllearner.utilities.QueryUtils

extractIngoingTriplePatternsForProjectionVars(Query) - Method in class org.dllearner.utilities.QueryUtils

Returns triple patterns for each projection variable v such that v is in object position.

ExtractionAlgorithm - Class in org.dllearner.kb.extraction

This class is used to extract the information .

ExtractionAlgorithm(Configuration) - Constructor for class org.dllearner.kb.extraction.ExtractionAlgorithm

ExtractionDBCache - Class in org.dllearner.kb.sparql

The class is used to cache information about resources to a database.

ExtractionDBCache(Connection) - Constructor for class org.dllearner.kb.sparql.ExtractionDBCache

ExtractionDBCache(String) - Constructor for class org.dllearner.kb.sparql.ExtractionDBCache

extractionStrategy - Static variable in class org.dllearner.algorithms.pattern.IndividualBasedFragmentExtractor

extractionStrategy - Static variable in class org.dllearner.algorithms.pattern.TimeBasedFragmentExtractor

extractNonOptionalTriplePatterns(Query, Node) - Method in class org.dllearner.utilities.QueryUtils

Returns all triple patterns in given SPARQL query that have the given node either in subject or in object position, i.e.

extractOutgoingTriplePatterns(Query, Node) - Method in class org.dllearner.utilities.QueryUtils

Returns all triple patterns in given SPARQL query that have the given node in subject position, i.e.

extractOutgoingTriplePatternsForProjectionVars(Query) - Method in class org.dllearner.utilities.QueryUtils

Returns triple patterns for each projection variable v such that v is in subject position.

extractOutgoingTriplePatternsTrans(Query, Node) - Method in class org.dllearner.utilities.QueryUtils

extractParallel() - Method in class org.dllearner.kb.sparql.SparqlKnowledgeSource

extractTriplePattern(Query) - Method in class org.dllearner.utilities.QueryUtils

extractTriplePattern(Query, boolean) - Method in class org.dllearner.utilities.QueryUtils

extractTriplePattern(ElementGroup) - Method in class org.dllearner.utilities.QueryUtils

extractTriplePattern(ElementGroup, boolean) - Method in class org.dllearner.utilities.QueryUtils

extractTriplePatterns(Query, Node) - Method in class org.dllearner.utilities.QueryUtils

Returns all triple patterns in given SPARQL query that have the given node either in subject or in object position, i.e.

extractTriplePatternsForProjectionVars(Query) - Method in class org.dllearner.utilities.QueryUtils

Returns triple patterns for each projection variable v such that v is either in subject or object position.

extractTriplePatternsWithPredicate(Query, Node) - Method in class org.dllearner.utilities.QueryUtils

Returns all triple patterns in given SPARQL query that contain the given predicate.

extractValueFromSingleton(List<T>) - Static method in class org.dllearner.algorithms.decisiontrees.utils.SetUtils

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