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DL-Learner 1.0 (Supervised Structured Machine Learning Framework) Released

From: Jens Lehmann <lehmann@informatik.uni-leipzig.de>
Date: Fri, 13 Feb 2015 11:26:09 +0100
Message-ID: <54DDD141.8030403@informatik.uni-leipzig.de>
To: semantic-web@w3.org, public-lod@w3c.org

Dear all,

the AKSW group [1] is happy to announce DL-Learner 1.0.

DL-Learner is a framework containing algorithms for supervised machine 
learning in RDF and OWL. DL-Learner can use various RDF and OWL 
serialization formats as well as SPARQL endpoints as input, can connect 
to most popular OWL reasoners and is easily and flexibly configurable. 
It extends concepts of Inductive Logic Programming and Relational 
Learning to the Semantic Web in order to allow powerful data analysis.

Website: http://dl-learner.org
GitHub page: https://github.com/AKSW/DL-Learner
Download: https://github.com/AKSW/DL-Learner/releases
ChangeLog: http://dl-learner.org/development/changelog/

DL-Learner is used for data analysis tasks within other tools such as 
ORE [2] and RDFUnit [3]. Technically, it uses refinement operator based, 
pattern based and evolutionary techniques for learning on structured 
data. For a practical example, see [4]. DL-Learner also offers a plugin 
for Protégé [5], which can give suggestions for axioms to add. 
DL-Learner is part of the Linked Data Stack [6] - a repository for 
Linked Data management tools.

We want to thank everyone who helped to create this release, in 
particular (alphabetically) An Tran, Chris Shellenbarger, Christoph 
Haase, Daniel Fleischhacker, Didier Cherix, Johanna Völker, Konrad 
Höffner, Robert Höhndorf, Sebastian Hellmann and Simon Bin. We also 
acknowledge support by the recently started SAKE project, in which 
DL-Learner will be applied to event analysis in manufacturing use cases, 
as well as the GeoKnow [7] and Big Data Europe [8] projects where it is 
part of the respective platforms.

View this announcement on Twitter and the AKSW blog:

Kind regards,

Lorenz Bühmann, Jens Lehmann and Patrick Westphal

[1] http://aksw.org
[2] http://ore-tool.net
[3] http://aksw.org/Projects/RDFUnit.html
[4] http://dl-learner.org/community/carcinogenesis/
[5] https://github.com/AKSW/DL-Learner-Protege-Plugin
[6] http://stack.linkeddata.org
[7] http://geoknow.eu
[8] http://www.big-data-europe.eu

Dr. Jens Lehmann
Head of AKSW group, University of Leipzig
Homepage: http://www.jens-lehmann.org
Group: http://aksw.org - semantic web research center
Project: http://geoknow.eu - geospatial data on the web
Received on Friday, 13 February 2015 10:27:12 UTC

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