Workshop on Linked Data Quality (LDQ2015) post
We see linked datasets originating from crowdsourced content like Wikipedia and OpenStreetMap such as DBpedia and LinkedGeoData and also from highly curated sources e.g. from the library domain. Quality is defined as “fitness for use”, thus DBpedia currently can be appropriate for a simple end-user application but could never be used in the medical domain for treatment decisions. However, quality is a key to the success of the data web and a major barrier for further industry adoption.
# Organizing Committee * Anisa Rula – University of Milano-Bicocca, IT * Amrapali Zaveri – AKSW, University of Leipzig, DE * Magnus Knuth – University of Potsdam, DE * Dimitris Kontokostas – AKSW, University of Leipzig, DE
# Program Committee * Maribel Acosta – Karlsruhe Institute of Technology, DE * Mathieu d’Aquin – The Open University, UK * Volha Bryl – University of Mannheim, DE * Ioannis Chrysakis – ICS FORTH, GR * Jeremy Debattista – University of Bonn, DE * Stefan Dietze – L3S, DE * Suzanne Embury – University of Manchester, UK * Christian Fürber – Information Quality Institute, DE * Jose Emilio Labra Gayo – University of Oviedo, ES * Markus Graube – Technische Universität Dresden, DE * Maristella Matera – Politecnico di Milano, IT * John McCrae – CITEC, University of Bielefeld, DE * Felix Naumann – Hasso Plattner Institute, DE * Matteo Palmonari – University of Milan-Bicocca, IT * Heiko Paulheim – University of Mannheim, DE * Mariano Rico – Universidad Politécnica de Madrid, ES * Ansgar Scherp – Kiel University, DE * Jürgen Umbrich – Vienna University, AT * Miel Vander Sande – Ghent University, BE * Patrick Westphal – AKSW, University of Leipzig, DE * Jun Zhao – Lancaster University, UK * Antoine Zimmermann – ISCOD / LSTI, FR * Andrea Maurino – University of Milan-Bicocca, IT
Medical students study Wikipedia because it is there and it works. Is it fit for use in the medical domain? Probably not if that use is making money by limiting access to information.
We see the same effect in sustainability data. Good data takes academic rigor to collect. Academics all have schemes on the side to sell LCA data to companies who might benefit in evaluating, say, their carbon footprint.