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AKSW presents four papers at ISWC in Shanghai and wins Best Paper award

November 11, 2010 - 11:16 am by Sören Auer - No comments »

The AKSW research group is represented in the main ISWC conference programme this year with four papers. International Semantic Web Conference (ISWC) is the major international forum where the latest research results and technical innovations on all aspects of the Semantic Web are presented. Acceptance rates for the main conference programme were this year 20% for the research track and 26% for the In-Use track. AKSW’s presentations at ISWC in Shanghai include:

The paper titled Knowledge Engineering for Historians on the Example of the Catalogus Professorum Lipsiensis was awarded the best In-Use track paper award.

ORE 0.2 Released

July 27, 2010 - 11:31 pm by Jens Lehmann - No comments »

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 as SPARQL endpoints. Using this mode, we have detected inconsistencies and computed justifications in DBpedia Live and OpenCyc. Previously, both knowledge bases were too large to compute justifications on standard hardware to the best of our knowledge, i.e. inconsistencies could not be fixed efficiently. A screencast illustrates this process for the case of DBpedia Live. Thanks to Lorenz Bühmann for his work on ORE.

ORE Homepage | Download | Screencast | AKSW Homepage

ORE 0.1 Released

March 16, 2010 - 12:19 am by Jens Lehmann - No comments »

The set of tools released by the AKSW research group has a new member: ORE. ORE stands for ontology repair and enrichment. It is a tool for knowledge engineers to improve an OWL ontology through a wizard like repair process. It uses state-of-the-art methods for fixing inconsistencies and suggesting additions to an ontology, while still being efficient for small and medium sized ontologies. A screencast, which demonstrates its functionality, is available. As usual, the tool is available as open source, so you are free to download it. More information is available on the ORE wiki page. While the initial release already offers some quite powerful features, we plan to extend the tool in the mid term future with full support for knowledge bases available as Linked Data or SPARQL endpoints (as opposed to OWL/RDF files) and the detection of many common modelling errors. Thanks to Lorenz Bühmann for implementing ORE in his master thesis.