| Vol-992 urn:nbn:de:0074-992-8 Copyright © 2013 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.

# KNOW@LOD 2013
Knowledge Discovery and Data Mining Meets Linked Open Data

### Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data

### Montpellier, France, May 26, 2013.

Edited by

### Johanna Völker *
Heiko Paulheim *
Jens Lehmann †
Mathias Niepert ‡
Harald Sack •

* University of Mannheim, Department of Business Informatics, 68131 Mannheim, Germany
† University of Leipzig, Institute of Computer Science, 04103 Leipzig, Germany
‡ University of Washington, Department of Computer Science and Engineering, Seattle, WA 98195-2350, USA
• Hasso Plattner Institute for IT Systems Engineering, University of Potsdam, 14482 Potsdam, Germany

## Table of Contents

- Preface

### Session 1

- Statistical Relational Learning using ProbLog 1-1
  Luc De Raedt
- Nell2RDF: Read the Web, and Turn it into RDF 2-8
  Antoine Zimmermann, Christophe Gravier, Julien Subercaze, Quentin Cruzille

### Session 2

- Mapping Keywords to Linked Data Resources for Automatic Query Expansion 9-20
  Isabelle Augenstein, Anna Lisa Gentile, Barry Norton, Ziqi Zhang, Fabio Ciravegna
- Cross-language Semantic Matching for Discovering Links to e-gov Services in the LOD Cloud 21-32
  Fedelucio Narducci, Matteo Palmonari, Giovanni Semeraro
- Addressing Streaming and Historical Data in OBDA Systems: Optique's Approach 33-40
  Ian Horrocks, Thomas Hubauer, Ernesto Jimenez-Ruiz, Evgeny Kharlamov, Manolis Koubarakis, Ralf Möller, Konstantina Bereta, Christian Neuenstadt, Özgür Özçep, Mikhail Roshchin, Panayiotis Smeros, Dmitriy Zheleznyakov
- Towards a Benchmark for LOD-Enhanced Knowledge Discovery from Structured Data 41-48
  Jindřich Mynarz, Vojtěch Svátek

29-May-2013: submitted by Mathias Niepert
31-May-2013: published on CEUR-WS.org