DL-Learner 1.5.0

• Compilation fixes

DL-Learner 1.4.0

• Mailing list has moved from sourceforge to freelists.org
• DL-Learner system has been presented at The Web Conference in Lyon: DL-Learner – Structured Machine Learning on Semantic Web Data
• Dependency Updates
  • OWLAPI: 4.5.13
  • Jena: 3.12.0
  • Hermit: 1.4.3
  • Edge: 3.2
  • CoreNLP: 3.9.2
• Compilation with Java 11, 12 fixed
• Tests now run on Windows
• Breaking changes;
  • The Accuracy Methods were moved to org.dllearner.accuracymethods package
• Added batch modes to Pattern and property learning algorithm
• Added minimumTreeScore in the disjunctive el learning algorithm
• Began work on new Class Expression Learning Problem
• Continued work on Query Tree Learning algorithm
• Improved CBD generators
• Improved Closed World Reasoner
• Improved Range based facet restrictions
• Improved simple SPARQL subclass learner
• Many utilities for working with JGraphT graphs
• New CELOE usage example
• New Examples Provider utility
• New JSON config file example
• SPARQL Reasoner adaptions for OntoQuad triple store
• Some logical fixes to the Horizontal Expansion in CELOE reported/analysed by Yingbing Hua
• Other bug fixes and improvements

DL-Learner 1.3.0

• Terminological Decision Tree and Evidence-based Terminological Decision Tree learning algorithms
  • More information about TDT and ETDT in an upcoming EKAW publication: 'Integrating New Refinement Operators in Terminological Decision Trees Learning'
• SPARQL Reasoner component has been evaluated in ECAI'16 publication: Towards SPARQL-Based Induction for Large-Scale RDF Data sets
• Addition of the LEAP and EDGE systems and BUNDLE reasoner for probabilistic OWL
  • Thanks to Giuseppe Cota from the University of Ferrara for the contribution
  • New command line tool to run leap configurations: clileap
  • Part of the extended DL-Learner release
• Query Tree Learning support for incoming edges
• Further QTL improvements
• New tree-based Concise Bounded Description generator
• Rho refinement operator now respects classes ignored in the learning algorithm
• For PosNegLP, positive and negative examples can be describes with a class expression
• Class Learning Problem support for pluggable accuracy methods
• New class expression length metric to further tune the refinement
• New expression validation client to calculate test coverage for PosNeg learning problems
• Framework updates
  • Update to Java 8
  • Update to Jena 3
  • Update to OWL API 4.2
  • Update to Spring 4.3
• Windows drive letters are now supported in OWLFile loader
• An updated review of the DL-Learner framework has been published in the Journal of Web Semantics: DL-Learner—A framework for inductive learning on the Semantic Web
  • Please refer to that publication when citing DL-Learner
• API and deprecation notices
  • getName() has been removed, use the AnnComponentManager instead
  • ROLearner2 has been integrated into OCEL
  • The refinement package has been removed
  • name attribute of configOption has been removed
  • Reasoner should implement getDomainImpl
  • QueryEngineHTTP is now upstreamed
  • CLIBase2 serves as a base for new CLI components
  • The BeanXMLConverter has been removed
• Bug fixes

DL-Learner 1.2

• Direct (without reasoner) SPARQL based learning
• Extended Query Tree Learning (QTL) algorithm
• OWLAPI v4 support
• Spring v4 support
• Cleaned up deprecated methods
• Bugfixes

DL-Learner 1.1

• Preliminary support for XSD date/time literals
• Preliminary support for inverse properties
• Better support for SPARQL endpoints as knowledge sources
• New Query Tree Learning (QTL) algorithms
• Optional DL syntax output instead of Manchester
• Documentation updates
• Bug fixes

DL-Learner 1.0

• Project migrated to Github
• All internal data structures migrated to OWL API
• Protégé plugin moved to a separate project
• Several improvements in query tree learner for robustness against noisy input
• Experimental Punning Handling
• New Utilities
  • Concise Bounded Description generator
  • Jena-OWLAPI converter

DL-Learner 1.0 Beta-3 (2014-05-23)

• ISLE algorithm for combining ELTL with natural language input
• Pattern based enrichment algorithm
• ParCEL algorithm for a parallel divide & conquer strategy
• Better fragment extraction for large knowledge bases
• TBSL question answering algorithm moved to separate project
• Modifications for smoother integration of ELK and CEL reasoners

DL-Learner 1.0 Beta-2 (2012-04-06)

• Removed dependencies to Sesame and several updated dependencies including Jena
• Thread safety improvements and parallelism in several algorithms and processing steps
• Lightweight REST interface

DL-Learner 1.0 Beta-1 (2011-12-08)

• Added stochastic sampling for cases with many input examples to further algorithms
• Modification of conf file format and improved compatibility for many algorithms
• Significant work on using DL-Learner for feedback loops in question answering
• Many bug fixes

DL-Learner 1.0 Alpha-2 (2011-09-15)

• Bugfix release
• OWL API communication and command line interface issues resolved