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See:
Description
| Packages | |
|---|---|
| org.dllearner | Central DL-Learner classes (configuration, startup, ...). |
| org.dllearner.algorithms | Learning Algorithms. |
| org.dllearner.algorithms.celoe | |
| org.dllearner.algorithms.el | Learning algorithms for the EL description logic. |
| org.dllearner.algorithms.fuzzydll | |
| 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.ocel | New experimental refinement operator approach, which takes obtained information about concrete examples in an algorithm run stronger into account. |
| org.dllearner.algorithms.properties | |
| org.dllearner.algorithms.refinement | Refinement Operator Approach. |
| org.dllearner.configuration | |
| org.dllearner.core | Core structure of DL-Learner including the definition of component types and a component manager. |
| org.dllearner.core.config | |
| org.dllearner.core.configurators | Automatically generated classes, which enable programmatically settingand getting configuration options of components. |
| org.dllearner.core.fuzzydll | |
| org.dllearner.core.options | Classes for managing the configuration options of DL-Learner components. |
| org.dllearner.core.options.fuzzydll | |
| 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.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.extraction | Core extraction algorithm including datastructures. |
| org.dllearner.kb.manipulator | Classes for manipulating extracted triples |
| org.dllearner.kb.sparql | Runnable scripts, each for a different task or experiment. |
| org.dllearner.learningproblems | Supported DL-Learner learning problems. |
| org.dllearner.learningproblems.fuzzydll | |
| 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.fuzzydll | |
| org.dllearner.refinementoperators | Refinement operator implementations. |
| org.dllearner.refinementoperators.fuzzydll | |
| org.dllearner.utilities | Utility classes. |
| org.dllearner.utilities.analyse | |
| org.dllearner.utilities.components | |
| 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.experiments | |
| 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.statistics | Utility classes for capturing statistics. |
DL-Learner is a tool for supervised Machine Learning in OWL and Description Logics.
Project Homepage: http://dl-learner.org
Sourceforge.net Website: http://sf.net/projects/dl-learner
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