Acknowledgments

= Acknowledgements =

The work on GoodRelations is lead by Martin Hepp.

The core GoodRelations team at the Universität der Bundeswehr München currently includes
 * 1) Andreas Radinger (since 2008),
 * 2) Alex Stolz (since 2009),
 * 3) Uwe Stoll (since 2010), and
 * 4) László Török (since 2011).

The following individuals have supported our work on GoodRelations over the years by significant implementation work, valuable suggestions, feedback, or explaining GoodRelations to others (in alphabetical order): Martin Anding, Stefano Bertolo, Daniel Bingel, Richard Cyganiak, Stefan Decker, Stefan Dietrich, Eric Franzon, Leyla Garcia, Kavi Goel, Sean Golliher, Andreas Harth, Kingsley Idehen, Christian Junghanns, Jay Myers, Markus Linder, Peter Mika, Ludger Rinsche, Martin Schliefnig, Nitin Shetti, Thomas Steiner, Jamie Taylor, Giovanni Tummarello, Jon Udell, and Andreas Wechselberger. We are very thankful for their contributions to make GoodRelations what it is today.

The work on the GoodRelations ontology and its predecessors has been partly funded by the Austrian BMVIT/FFG under the FIT-IT Semantic Systems project myOntology (grant no. 812515/9284), by a Young Researcher's Grant (Nachwuchsförderung 2005-2006) from the Leopold-Franzens-Universität Innsbruck, by the European Commission under the project SUPER (FP6-026850), and by German Federal Ministry of Education and Research (BMBF) under the project “IntelligentMatch”, grant identifier 01IS10022B.

The new (2011) screen design was created by Don Ailinger and Martin Hepp.

The GoodRelations specification document is automatically created from the most recent ontology specification in OWL using a Python script written by Alex Stolz, László Török, and Martin Hepp. Our script uses the RDFlib library for parsing and handling RDF and the Jinja template engine for generating the HTML document.

Also, we would like to mention that the Creative Commons Wiki was a great inspiration for our redesigned GoodRelations Wiki. In fact, it is the best Mediawiki configuration that we are aware of.