| Vol-1082 urn:nbn:de:0074-1082-4 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.

# DMoLD 2013
Data Mining on Linked Data

## with Linked Data Mining Challenge

### Proceedings of the International Workshop on Data Mining on Linked Data, with Linked Data Mining Challenge
collocated with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2013)

### Prague, Czech Republic, September 23, 2013.

Edited by

### Claudia d'Amato *
Petr Berka **
Vojtech Svátek **
Krzysztof Wecel ***

* University of Bari, Department of Computer Science, Bari, Italy
** University of Economics, Department of Information and Knowledge Engineering, Prague, Czech Republic
*** Poznan University of Economics, Poznan, Poland

## Table of Contents

- Preface

### Invited Talk

- Exploiting Linked Open Data as Background Knowledge in Data Mining
  Heiko Paulheim

### Open Track Research Papers

- Lattice Based Data Access (LBDA): An Approach for Organizing and Accessing Linked Open Data in Biology
  Mehwish Alam, Melisachew Wudage Chekol, Adrien Coulet, Amedeo Napoli, Malika Smail-Tabbone
- A Fast and Simple Graph Kernel for RDF
  Gerben Klaas Dirk de Vries, Steven de Rooij

### Linked Data Mining Challenge Papers

- Linked Data Mining Challenge (LDMC) 2013 Summary
  Vojtech Svátek, Jindrich Mynarz, Petr Berka
- Graph Kernels for Task 1 and 2 of the Linked Data Data Mining Challenge 2013
  Gerben Klaas Dirk de Vries
- Using Data Mining on Linked Open Data for Analyzing E-Procurement Information -
  A Machine Learning approach to the Linked Data Mining Challenge 2013
  Eneldo Loza Mencia, Simon Holthausen, Axel Schulz, Frederik Janssen

2013-11-14: submitted by Claudia d'Amato
2013-11-15: published on CEUR-WS.org |valid HTML5|