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.
On June 8, I (Jens) visited the process control engineering research group (PLT) of Leon Urbas at the Dresden University of Technology. We first met on the Leipziger Semantic Web Day where Leon Urbas presented interactive Linked Data applications and decided to have a longer meeting later on. Read more about "AKSW at TU Dresden PLT"
Like in the past two years, we again organize a Leipzig Semantic Web Day on May 5th at the marvelous Mediencampus Villa Ida. This year’s theme is “Linked Data for the Masses”, particularly focusing on its use in enterprises. Read more about "May 4-5: Leipziger Semantic Web Tag 2011 and Local Media Conferenz"
Members of AKSW are actively participating in some key (Semantic) Web conferences this spring. Read more about "AKSW Conference participation this spring: ESWC, ICWE, WIMS"
We are happy to announce the next release of DL-Learner, a tool for learning OWL class expressions from examples and background knowledge. It extends Inductive Logic Programming (ILP) to Description Logics and the Semantic Web. The tool has matured over the past 3 years and is meanwhile used in a number of applications. Read more about "DL-Learner Build 2010-08-07 released"
Today, we released version 0.2 of the ontology repair and enrichment (ORE) tool. It is a tool for knowledge engineers to improve an OWL ontology through a wizard like repair process and uses state-of-the-art ontology debugging methods. The main feature in version 0. Read more about "ORE 0.2 Released"