Hello, today we released DL-Learner Build 2009-05-06. DL-Learner [1] is a tool for learning OWL class expressions [2] from examples and background knowledge. It extends Inductive Logic Programming (ILP) to Description Logics and the Semantic Web. Downloads are available at [3]. For a list of the most important changes since the previous release (Build 2008-10-13), see the Changelog [4]. Some notable features in this release are: * a new learning algorithm (CELOE) designed specifically for extending OWL ontologies * a Protege plugin [5] using CELOE * a manual [6] for getting started using DL-Learner * performance improvements through stochastic methods * more learning examples, unit tests, code quality improvements 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 [7] * help knowledge engineers by learning definitions and subclass axioms (see Protege plugin and another one for OntoWiki is in progress) * generating user recommendations when browsing knowledge bases DL-Learner is developed at the AKSW [8] research group. I'd like to thank all contributors, in particular active developers [9] and everyone who send us valuable feedback. Kind regards, Jens Lehmann [1] http://dl-learner.org [2] http://www.w3.org/TR/owl2-syntax/#Class_Expressions [3] http://sourceforge.net/projects/dl-learner/ [4] http://dl-learner.org/wiki/ChangeLog [5] http://dl-learner.org/wiki/ProtegePlugin [6] http://dl-learner.org/files/dl-learner-manual.pdf [7] http://dl-learner.org/wiki/Carcinogenesis [8] http://aksw.org [9] http://dl-learner.org/wiki/Contact -- 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.ascReceived on Wednesday, 6 May 2009 13:44:01 UTC
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