Final schedule

10:15 – 10:30 | Introduction

10:30 – 11:00 | Petar Ristoski and Heiko Paulheim. A Comparison of Propositionalization Strategies for Creating Features from Linked Open Data

11:00 – 11:30 | Barbara Żogała-Siudem and Szymon Jaroszewicz. Fast stepwise regression on linked data

11:30 – 12:00 | Julien Rabatel, Madalina Croitoru, Dino Ienco and Pascal Poncelet. Contextual Itemset Mining in DBpedia

12:00 – 12:30 | Orphée De Clercq, Sven Hertling, Veronique Hoste, Simone Paolo Ponzetto and Heiko Paulheim.  Identifying Disputed Topics in the News

12:30 – 14:00 | Lunch

14:00 – 14:30 | Mehwish Alam and Amedeo Napoli. Lattice-Based Views over SPARQL Query Results

14:30 – 14:50 | Oscar Peña, Jon Lázaro, Aitor Almeida, Pablo Orduña, Unai Aguilera and Diego López-De-Ipiña. Visual Analysis of a Research Group’s Performance thanks to Linked Open Data

14:50 – 15:10 | Peter Bloem and Gerben De Vries. Machine Learning on Linked Data, a Position Paper

15:10 – 15:30 | Denis Krompass, Xueyan Jiang, Maximilian Nickel and Volker Tresp.  Probabilistic Latent-Factor Database Models

15:30 – 16:00 | Break

16:00 – 17:00 | Discussion

17:00 – 17:30 | Conclusion