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Archiv für die Kategorie 'DL-Learner'

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

February 13, 2015 - 10:38 am by Jens Lehmann - No comments »

Dear all,

we are 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.

GitHub page:

DL-Learner is used for data analysis in other tools such as ORE and RDFUnit. Technically, it uses refinement operator based, pattern based and evolutionary techniques for learning on structured data. For a practical example, see It also offers a plugin for Protege, which can give suggestions for axioms to add. DL-Learner is part of the Linked Data Stack – 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 and Big Data Europe projects where it is part of the respective platforms.

Kind regards,

Lorenz Bühmann, Jens Lehmann and Patrick Westphal

Kick-Off for the BMWi project SAKE

February 3, 2015 - 11:39 am by Ricardo Usbeck - No comments »

Hi all!

One of AKSW’s Big Data Project, SAKE – Semantische Analyse Komplexer Ereignisse (SAKE – Semantic Analysis of Complex Events) kicked-off in Karlsruhe. SAKE is one of the winners of the Smart Data Challenge and is funded by the German BMWi (Bundesministerium für Wirtschaft und Energie) and has a duration of 3 years. Within this project, AKSW will develop powerful methods for analysis of industrial-scale Big Linked Data in real time. To this end, the team will extend existing frameworks like LIMES, DL-Learner, QUETSAL and FOX. Together with USU AG, Heidelberger Druckmaschinen, Fraunhofer  IAIS and AviComp Controls novel methods for tackling Business Intelligence challenges will be devised.

More info to come soon!

Stay tuned!

Axel on behalf of the SAKE team

AKSW successful at #ISWC2014

October 28, 2014 - 5:03 pm by Ricardo Usbeck - No comments »

Dear followers, 9 members of AKSW have been participating at the 13th International Semantic Web Conference (ISWC) at Riva del Garda, Italy. Next to listening to interesting talks, giving presentations or discussing with fellow Semantic Web researchers, AKSW won 4 significant prizes:

We do work on way more projects, which you can find at Cheers, Ricardo on behalf of the AKSW group
Best Paper Award

AKSW successful at ESWC 2014

June 3, 2014 - 3:20 pm by Ricardo Usbeck - No comments »


After a week full of exciting presentations, demos, posters and especially keynotes AKSW members are back from the 11th Extended Semantic Web Conference 2014 (ESWC).

Furthermore, we bring happy news with us. AKSW members won four prizes this year! In detail these are:

Meet us at!

All the best,
Ricardo on behalf of AKSW


April 16, 2013 - 12:06 pm by SandraPraetor - 2 comments »

In the recent years the LOD2 stack established a collection of applications developed in the context of the LOD2 project, presented as an unified environment. These applications are referred to as components although they can also be installed independently. However, having all these components in a single environment eases the access from one application to the other and improves the UI experience.

As LOD2 stack is now available in it’s second version, questions of usability and end users experience came more in the focus of the ungoing development. So the LOD2 consortium set up  a survey asking users of the LOD2 stack (or the online Demonstrator) for feedback, regarding their experiences with the LOD2stack and the separate components. The outcome of this, is to fine tune development and improve the user experience in each phase of the Linked Data life cycle.

The survey is open from April 15 to June 30 and will only demand 15 minutes of your time.