DL-Learner: a tool for supervised Machine Learning in OWL and Description Logics

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DL-Learner is a tool for learning concepts in Description Logics (DLs) from user-provided examples. Equivalently, it can be used to learn classes in OWL ontologies from selected objects. The goal of DL-Learner is to support knowledge engineers in constructing knowledge and learning about the data they created.

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Article accepted in Journal of Web Semantics ( 2016-08-02T09:54:24+02:00 by Lorenz Bühmann)

2016-08-02T09:54:24+02:00 by Lorenz Bühmann

We are happy to announce that the article “DL-Learner – A Framework for Inductive Learning on the Semantic Web” by Lorenz Bühmann, Jens Lehmann and Patrick Westphal was accepted for publication in the Journal of Web Semantics: Science, Services and Agents on … Continue reading → Read more about "Article accepted in Journal of Web Semantics"

DL-Learner 1.2 (Supervised Structured Machine Learning Framework) Released ( 2016-02-09T16:19:55+01:00 by Patrick Westphal)

2016-02-09T16:19:55+01:00 by Patrick Westphal

Dear all, we are happy to announce DL-Learner 1.2. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.2 (Supervised Structured Machine Learning Framework) Released"

DL-Learner 1.1 (Supervised Structured Machine Learning Framework) Released ( 2015-07-22T16:14:57+02:00 by Dr. Jens Lehmann)

2015-07-22T16:14:57+02:00 by Dr. Jens Lehmann

Dear all, we are happy to announce DL-Learner 1.1. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.1 (Supervised Structured Machine Learning Framework) Released"

DL-Learner 1.0 (Supervised Structured Machine Learning Framework) Released ( 2015-02-13T10:38:26+01:00 by Dr. Jens Lehmann)

2015-02-13T10:38:26+01:00 by Dr. Jens Lehmann

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. Read more about "DL-Learner 1.0 (Supervised Structured Machine Learning Framework) Released"

Kick-Off for the BMWi project SAKE ( 2015-02-03T11:39:22+01:00 admin)

2015-02-03T11:39:22+01:00 admin

Hi all! One of AKSW’s Big Data Project, SAKE – Semantische Analyse Komplexer Ereignisse (SAKE – Semantic Analysis of Complex Events) kicked-off in Karlsruhe. Read more about "Kick-Off for the BMWi project SAKE"