2019-09-24T22:41:46+02:00 by Simon Bin
Dear all, The Smart Data Analytics group [1] and the E.T.-db-MOLE sub-group located at the InfAI Leipzig [2] is happy to announce DL-Learner 1.4. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released"
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"
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"
2015-07-22T16:14:57+02:00 by Prof. 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"
2015-02-13T10:38:26+01:00 by Prof. 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"