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