Skip navigation links

DL-Learner Javadoc

DL-Learner is a tool for supervised Machine Learning in OWL and Description Logics.

See: Description

Packages 
Package Description
org.dllearner
Central DL-Learner classes (configuration, startup, ...).
org.dllearner.accuracymethods  
org.dllearner.algorithms  
org.dllearner.algorithms.celoe  
org.dllearner.algorithms.decisiontrees.dsttdt  
org.dllearner.algorithms.decisiontrees.dsttdt.dst  
org.dllearner.algorithms.decisiontrees.dsttdt.models  
org.dllearner.algorithms.decisiontrees.heuristics  
org.dllearner.algorithms.decisiontrees.refinementoperators  
org.dllearner.algorithms.decisiontrees.tdt  
org.dllearner.algorithms.decisiontrees.tdt.model  
org.dllearner.algorithms.decisiontrees.utils  
org.dllearner.algorithms.el
Learning algorithms for the EL description logic.
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.isle  
org.dllearner.algorithms.isle.index  
org.dllearner.algorithms.isle.index.semantic  
org.dllearner.algorithms.isle.index.syntactic  
org.dllearner.algorithms.isle.metrics  
org.dllearner.algorithms.isle.textretrieval  
org.dllearner.algorithms.isle.wsd  
org.dllearner.algorithms.meta  
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.pattern  
org.dllearner.algorithms.probabilistic.parameter.distributed.unife.edge  
org.dllearner.algorithms.probabilistic.parameter.unife.edge  
org.dllearner.algorithms.probabilistic.structure.distributed.unife.leap  
org.dllearner.algorithms.probabilistic.structure.unife.leap  
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  
org.dllearner.algorithms.qtl.datastructures.impl  
org.dllearner.algorithms.qtl.datastructures.rendering  
org.dllearner.algorithms.qtl.exception  
org.dllearner.algorithms.qtl.filters  
org.dllearner.algorithms.qtl.heuristics  
org.dllearner.algorithms.qtl.impl  
org.dllearner.algorithms.qtl.operations  
org.dllearner.algorithms.qtl.operations.lcs  
org.dllearner.algorithms.qtl.operations.lgg  
org.dllearner.algorithms.qtl.operations.lgg.graph  
org.dllearner.algorithms.qtl.operations.nbr  
org.dllearner.algorithms.qtl.operations.nbr.strategy  
org.dllearner.algorithms.qtl.operations.traversal  
org.dllearner.algorithms.qtl.operations.tuples  
org.dllearner.algorithms.qtl.util  
org.dllearner.algorithms.qtl.util.filters  
org.dllearner.algorithms.qtl.util.statistics  
org.dllearner.algorithms.qtl.util.vocabulary  
org.dllearner.algorithms.schema  
org.dllearner.algorithms.semkernel  
org.dllearner.algorithms.tdts  
org.dllearner.cli
DL-Learner command line interface.
org.dllearner.cli.DocumentationGeneratorMeta  
org.dllearner.cli.unife  
org.dllearner.configuration  
org.dllearner.configuration.spring  
org.dllearner.configuration.spring.editors  
org.dllearner.configuration.util  
org.dllearner.confparser  
org.dllearner.confparser.json  
org.dllearner.core
Core structure of DL-Learner including the definition of component types and a component manager.
org.dllearner.core.annotations  
org.dllearner.core.config  
org.dllearner.core.fuzzydll  
org.dllearner.core.options  
org.dllearner.core.owl
Classes/Interfaces for representing OWL constructs - see the OWL 2 Structural Specification for details.
org.dllearner.core.owl.fuzzydll  
org.dllearner.core.probabilistic.distributed.unife  
org.dllearner.core.probabilistic.unife  
org.dllearner.core.ref  
org.dllearner.examples  
org.dllearner.exceptions  
org.dllearner.experiments  
org.dllearner.kb
DL-Learner knowledge sources, which can be used as background knowledge in learning problems.
org.dllearner.kb.aquisitors
Different classes for physically extracting triples from data sources.
org.dllearner.kb.dataset  
org.dllearner.kb.extraction
Core extraction algorithm including datastructures.
org.dllearner.kb.manipulator
Classes for manipulating extracted triples
org.dllearner.kb.repository  
org.dllearner.kb.repository.bioportal  
org.dllearner.kb.repository.lov  
org.dllearner.kb.repository.oxford  
org.dllearner.kb.repository.tones  
org.dllearner.kb.sparql
Runnable scripts, each for a different task or experiment.
org.dllearner.kb.sparql.simple  
org.dllearner.learningproblems
Supported DL-Learner learning problems.
org.dllearner.parser
DL-Learner parsers.
org.dllearner.prolog
Prolog syntax structures.
org.dllearner.reasoning
Implements the connection to other reasoner or own reasoning/caching algorithms.
org.dllearner.reasoning.unife  
org.dllearner.refinementoperators
Refinement operator implementations.
org.dllearner.scripts  
org.dllearner.scripts.analyse  
org.dllearner.server
This package implements the DL-Learner web service.
org.dllearner.server.jaxws
Classes generated by JAXWS.
org.dllearner.test  
org.dllearner.utilities
Utility classes.
org.dllearner.utilities.analyse  
org.dllearner.utilities.datastructures
Utility classesfor manipulating general data structures.
org.dllearner.utilities.examples
Utility classes related to finding/modifying examples of learning problems.
org.dllearner.utilities.graph  
org.dllearner.utilities.learn
Reusable learnings tasks.
org.dllearner.utilities.owl
OWL utility classes (file manipulation, converting between different formats, orderings on OWL structures etc.).
org.dllearner.utilities.semkernel  
org.dllearner.utilities.sparql  
org.dllearner.utilities.split  
org.dllearner.utilities.statistics
Utility classes for capturing statistics.
org.dllearner.utils.unife  
org.springframework.schema.beans  
org.springframework.schema.beans.impl  

DL-Learner is a tool for supervised Machine Learning in OWL and Description Logics.

DL-Learner logo

Project Homepage: http://dl-learner.org
GitHub Website: https://github.com/AKSW/DL-Learner/

GitHub Logo

Skip navigation links

Github.com Logo DL-Learner is licenced under the terms of the GNU General Public License.
Copyright © 2007-2019 Jens Lehmann