News

blog.aksw.org
The shared AKSW blog about our projects and the Semantic Web.

AKSW coordinates EU-funded research project LOD2 aiming to take the Web of Linked Data to the next level
All wealth of information is already widely available on the Internet or in company-wide Intranets. In many situations, however, we tend perceive this plethora of information as an information overload, since it is still rarely possible to answer search queries going beyond simple keyword-searches and tedious to integrate information from different sources in unforeseen ways. [...]
Triplification Challenge Winners
Today we announced the winners of this year’s Triplification Challenge, which have been selected from 23 submissions. Open Government Data Track Winner: Richard Cyganiak, Fadi Maali and Vassilios Peristeras, “Self-Service Linked Government Data with dcat and Gridworks” Honorary Mention: Christoph Boehm, Felix Naumann, Markus Freitag, Stefan George, Norman Höfler, Martin Köppelmann, Claudia Lehmann, Andrina Mascher and [...]
DL-Learner Build 2010-08-07 released
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. Some features [...]
Networking Session on Governmental Linked Data at ICT2010
The Open Knowledge Foundation Working Group on EU Open Data (where AKSW is an active member) is organising a session on linked government data at the ICT2010 event in Brussels later this year. Where? T 003, Brussels Expo When? 11:00-12:30 CET, 28th September 2010 This networking session will discuss how public access to government data – crucial for [...]
ORE 0.2 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 0.2 is a mode for incrementally detecting inconsistencies in large knowledge bases available [...]

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