Package org.dllearner.learningproblems

Supported DL-Learner learning problems.

See: Description

Class Summary

Class	Description
AxiomScore
ClassAsInstanceLearningProblem	A learning problem in which positive and negative examples are classes, i.e.
ClassExpressionLearningProblem	The problem of learning the OWL class expression for another OWL class expression in an OWL ontology.
ClassLearningProblem	The problem of learning the OWL class expression of an existing class in an OWL ontology.
ClassScore	The score of a class in ontology engineering.
EvaluatedDescriptionClass	An evaluated OWLClassExpression for learning classes in ontologies.
EvaluatedDescriptionPosNeg	This represents a class description, which has been evaluated by the learning algorithm, i.e.
EvaluatedDescriptionPosOnly
EvaluationCache	Caches results of previous concept evaluation to speed up further evaluations.
ExampleLoader	Load positive and negative examples from Class Expression
FuzzyPosNegLP
FuzzyPosNegLPStandard	The aim of this learning problem is to learn a concept definition such that the positive examples and the negative examples do not follow.
Heuristics	Implementation of various heuristics.
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.
PosNegLPStrict
PosNegUndLP	A ternary learning problem (positive, negative and uncertain instances) to manage the problem of the Open World Assumption typically employed for ontologies
PosOnlyLP	A learning problem, where we learn from positive examples only.
PropertyAxiomLearningProblem<T extends org.semanticweb.owlapi.model.OWLPropertyAxiom>
QueryTreeScore
ScorePosNeg<T extends org.semanticweb.owlapi.model.OWLEntity>	The score class is used to store how well a class description did on a learning problem.
ScorePosOnly<T extends org.semanticweb.owlapi.model.OWLEntity>
ScoreSimple	A simple score implementation which only contains the accuracy.
ScoreThreeValued<T extends org.semanticweb.owlapi.model.OWLEntity>	Computes the score (a negative value) by comparing the classification results with ideal results.
ScoreTwoValued<T extends org.semanticweb.owlapi.model.OWLEntity>	Calculates accuracy and score (with respect to some length penalty) of a class description.

Enum Summary

Enum	Description
Heuristics.HeuristicType
ScoreThreeValued.ScoreMethod

Package org.dllearner.learningproblems Description

Supported DL-Learner learning problems.