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|