Weblog

Applying LOD to Public Procurement: PSI Group meeting 2013

On January 24, 2013, the PSI Group met on the premises of European Commission in Luxembourg for a discussion of the recent advancements in open data activities across the European Union. The PSI Group consists of representatives from all of the EU member states, most of whom were present at the meeting and reported on … Continue reading

Crowd-sourcing the evaluation of Linked Open Data with TripleCheckMate

On November 16th, 2012 the DBpedia Data Quality group started a campaign for assessing the quality of DBpedia. To get the best of this effort we developed TripleCheckMate, a tool designed for crowd-sourcing the evaluation of Linked Data. Today, we are happy to announce that TripleCheckMate has been released as an open-source software (under Apache … Continue reading

6th Workshop on Linked Data on the Web (LDOW2013)

LOD2 consortium members Chris Bizer, Michael Hausenblas and Sören Auer together with Tom Heath and Tim Berners-Lee are organizing this 6th edition of the classical Linked Data on the Web workshop. LDOW 2013 takes place 14 May 2013 in Rio de Janeiro, Brazil in conjunction with 22nd International World Wide Web Conference. The call for papers … Continue reading

European Data Forum: Free Registration and Call for Contribution are open

Time to plan for the European Data Forum 2013 in Dublin. The yearly meeting place for industry, research, policy makers, and community initiatives to discuss the challenges and opportunities of (Big) Data in Europe. Free Registration for the European Data Forum 2013 is now open. EDF also invites to submit proposials on to be held … Continue reading

Webinar: 29.01.2013 – Zemanta / Open Refine

  This webinar in the course of the LOD2 webinar series will present Zemanta and its LODRefine – a LOD-enabled version of OpenRefine (previously Google Refine), which is a part of the LOD2 stack. LODRefine extends cleansing and linking functionalities of OpenRefine by providing means to reconcile and augment your data with DBpedia or any … Continue reading