DL-Learner Build 2008-10-13 released

Hello,

today we released DL-Learner Build 2008-10-13. DL-Learner [1] is a tool
for learning complex class descriptions from examples and background
knowledge. It extends Inductive Logic Programming to Description Logics
and the Semantic Web.

Downloads are available at [2]. For a list of the most important changes
since the previous release (Build 2008-02-18), see the Changelog [3].
Some notable features are:

 * addition of a new learning algorithm, which uses background knowledge
   more efficiently to find solutions of learning problems
 * a GUI as interface to create or modify configuration files and
   execute algorithms
 * a fast approximate instance checking algorithm decreasing the time
   for example coverage checks (the most expensive operation)
   significantly, thereby improving overall performance
 * a matured fragment extraction algorithm, which allows to grab OWL-DL
   fragments from large knowledge bases (using SPARQL) containing enough
   relevant information to conduct concept learning, while they are
   small enough to reason efficiently[4]

DL-Learner can be used to:

 * solve general supervised Machine Learning problems using ontologies
   as background knowledge (given as OWL files, SPARQL endpoints, etc.),
   e.g. it was used to predict whether chemicals can cause cancer [5]
 * help knowledge engineers by learning definitions and subclass axioms
   (plugins for Protege and OntoWiki in progress)
 * support searching/navigating/recommendations in knowledge bases

DL-Learner is developed at the AKSW [6] research group. I'd like to
thank all contributors, in particular Sebastian Hellmann, for their support.

Kind regards,

Jens Lehmann


[1] http://dl-learner.org
[2] http://sourceforge.net/projects/dl-learner/
[3] http://dl-learner.org/wiki/ChangeLog
[4] http://jens-lehmann.org/files/2008_kb_extraction.pdf
[5] http://dl-learner.org/wiki/Carcinogenesis
[6] http://aksw.org


-- 
Dipl. Inf. Jens Lehmann
Department of Computer Science, University of Leipzig
Homepage: http://www.jens-lehmann.org
GPG Key: http://jens-lehmann.org/jens_lehmann.asc

Received on Monday, 13 October 2008 16:37:39 UTC