Vol-1242⫷ Vol-1243 ⫸Vol-1244
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 |