Uses of Package
org.dllearner.learningproblems

Packages that use org.dllearner.learningproblems

Package	Description
org.dllearner.algorithms.decisiontrees.heuristics
org.dllearner.algorithms.decisiontrees.refinementoperators
org.dllearner.algorithms.gp	Genetic Programming Learning Algorithm.
org.dllearner.algorithms.hybridgp	Hybrid Learning Algorithm: A combination of Genetic Programming and Refinement Operators.
org.dllearner.algorithms.miles
org.dllearner.algorithms.ocel	New experimental refinement operator approach, which takes obtained information about concrete examples in an algorithm run stronger into account.
org.dllearner.algorithms.probabilistic.parameter.unife.edge
org.dllearner.algorithms.properties
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.operations.lgg
org.dllearner.core	Core structure of DL-Learner including the definition of component types and a component manager.
org.dllearner.learningproblems	Supported DL-Learner learning problems.
org.dllearner.refinementoperators	Refinement operator implementations.
org.dllearner.server	This package implements the DL-Learner web service.
org.dllearner.utilities	Utility classes.
org.dllearner.utilities.datastructures	Utility classesfor manipulating general data structures.
org.dllearner.utilities.owl	OWL utility classes (file manipulation, converting between different formats, orderings on OWL structures etc.).
org.dllearner.utilities.split

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms.decisiontrees.heuristics

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

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms.decisiontrees.refinementoperators

Class and Description
PosNegLP

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms.gp

Class and Description
ScorePosNeg The score class is used to store how well a class description did on a learning problem.

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms.hybridgp

Class and Description
PosNegLP
ScorePosNeg The score class is used to store how well a class description did on a learning problem.

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms.miles

Class and Description
ClassLearningProblem The problem of learning the OWL class expression of an existing class in an OWL ontology.
PosNegLP

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms.ocel

Class and Description
EvaluatedDescriptionPosNeg This represents a class description, which has been evaluated by the learning algorithm, i.e.
PosNegLP
PosOnlyLP A learning problem, where we learn from positive examples only.
ScorePosNeg The score class is used to store how well a class description did on a learning problem.

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms.probabilistic.parameter.unife.edge

Class and Description
ClassLearningProblem The problem of learning the OWL class expression of an existing class in an OWL ontology.

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms.properties

Class and Description
AxiomScore

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms.qtl

Class and Description
PosNegLP

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms.qtl.datastructures.impl

Class and Description
QueryTreeScore

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms.qtl.heuristics

Class and Description
Heuristics.HeuristicType

Classes in org.dllearner.learningproblems used by org.dllearner.algorithms.qtl.operations.lgg

Class and Description
QueryTreeScore

Classes in org.dllearner.learningproblems used by org.dllearner.core

Class and Description
AxiomScore
ExampleLoader Load positive and negative examples from Class Expression

Classes in org.dllearner.learningproblems used by org.dllearner.learningproblems

Class and Description
AxiomScore
ClassScore The score of a class in ontology engineering.
EvaluatedDescriptionClass An evaluated OWLClassExpression for learning classes in ontologies.
FuzzyPosNegLP
Heuristics.HeuristicType
PosNegLP
PosNegLPStandard The aim of this learning problem is to learn a concept definition such that the positive examples and the negative examples do not follow.
PosOnlyLP A learning problem, where we learn from positive examples only.
ScorePosNeg The score class is used to store how well a class description did on a learning problem.
ScorePosOnly
ScoreSimple A simple score implementation which only contains the accuracy.
ScoreThreeValued.ScoreMethod

Classes in org.dllearner.learningproblems used by org.dllearner.refinementoperators

Class and Description
PosNegLP

Classes in org.dllearner.learningproblems used by org.dllearner.server

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

Classes in org.dllearner.learningproblems used by org.dllearner.utilities

Class and Description
ClassLearningProblem The problem of learning the OWL class expression of an existing class in an OWL ontology.

Classes in org.dllearner.learningproblems used by org.dllearner.utilities.datastructures

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

Classes in org.dllearner.learningproblems used by org.dllearner.utilities.owl

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

Classes in org.dllearner.learningproblems used by org.dllearner.utilities.split

Class and Description
PosNegLP