| Vol-1232 urn:nbn:de:0074-1232-3 Copyright © 2014 for the individual papers by the papers' authors. Copying permitted only for private and academic purposes. This volume is published and copyrighted by its editors.

# LD4KD 2014
Linked Data for Knowledge Discovery

### Proceedings of the 1st Workshop on Linked Data for Knowledge Discovery
co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014)

### Nancy, France, September 19th, 2014.

Edited by

### Ilaria Tiddi, KMi, The Open University, UK
Mathieu d'Aquin, KMi, The Open University, UK
Nicolas Jay, Orpailleur, Loria, France

## Table of Contents

- Preface

- A Comparison of Propositionalization Strategies for Creating Features from Linked Open Data
  Petar Ristoski, Heiko Paulheim
- Fast Stepwise Regression on Linked Data
  Barbara Żogała-Siudem, Szymon Jaroszewicz
- Contextual Itemset Mining in DBpedia
  Julien Rabatel, Madalina Croitoru, Dino Ienco, Pascal Poncelet
- Identifying Disputed Topics in the News
  Orphée De Clercq, Sven Hertling, Veronique Hoste, Simone Paolo Ponzetto, Heiko Paulheim
- Lattice-Based Views over SPARQL Query Results
  Mehwish Alam, Amedeo Napoli
- Visual Analysis of a Research Group's Performance thanks to Linked Open Data
  Oscar Peña, Jon Lázaro, Aitor Almeida, Pablo Orduña, Unai Aguilera, Diego López-De-Ipiña
- Machine Learning on Linked Data, a Position Paper
  Peter Bloem, Gerben De Vries
- Probabilistic Latent-Factor Database Models
  Denis Krompass, Xueyan Jiang, Maximilian Nickel, Volker Tresp

The whole proceedings can also be downloaded as a single file (PDF, including title pages, preface, and table of contents).

We offer a BibTeX file for citing papers of this workshop from LaTeX.

2014-09-08: submitted by Ilaria Tiddi
2014-09-10: published on CEUR-WS.org |valid HTML5|