| Vol-1243 urn:nbn:de:0074-1243-0 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.

# Know@LOD 2014
Knowledge Discovery and Data Mining Meets Linked Open Data

### Proceedings of the 3rd Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data
co-located with 11th Extended Semantic Web Conference (ESWC 2014)

### Crete, Greece, May 25, 2014.

Edited by

### Johanna Völker *
Heiko Paulheim *
Jens Lehmann **
Harald Sack ***
Vojtech Svatek ****

* University of Mannheim, Mannheim, Germany
** University of Leipzig, Leipzig, Germany
*** Hasso-Plattner-Institute, Potsdam, Germany
**** University of Economics, Prague, Czech Republic

## Table of Contents

- Preface

### Accepted Papers

- Simplifying RDF Data for Graph-Based Machine Learning
  Peter Bloem, Adianto Wibisono, Gerben De Vries
- Parallel Search Through Statistical Semantic Spaces Leveraging Linked Open Data
  Alexey Cheptsov
- Amending RDF Entities with New Facts
  Ziawasch Abedjan, Felix Naumann
- Interlinking English and Chinese RDF Data Sets Using Machine Translation
  Tatiana Lesnikova, Jerome David, Jerome Euzenat
- Link Prediction in Very Large Directed Graphs: Exploiting Hierarchical Properties in Parallel
  Dario Garcia-Gasulla, Ulises Cortes
- The Linked Data Mining Challenge 2014: Results and Experiences
  Vojtech Svatek, Jindrich Mynarz, Heiko Paulheim
- Development of Prediction Model for Linked Data based on the Decision Tree
  Dongkyu Jeon, Wooju Kim

2014-09-17: submitted by Johanna Völker
2014-09-17: published on CEUR-WS.org |valid HTML5|