Vol-1365
urn:nbn:de:0074-1365-8

Copyright © 2015 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

Know@LOD 2015
Knowledge Discovery and Data Mining Meets Linked Open Data

Proceedings of the 4th Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data
co-located with 12th Extended Semantic Web Conference (ESWC 2015)

Portoroz, Slovenia, May 31, 2015.

Edited by

Johanna Völker *
Heiko Paulheim *
Jens Lehmann
Vojtech Svatek *

* University of Mannheim, Mannheim, Germany
** University of Leipzig, Leipzig, Germany
*** University of Economics, Prague, Czech Republic

Table of Contents

Preface

Workshop Papers

Sorted Neighborhood for Schema-free RDF Data
Mayank Kejriwal, Daniel P. Miranker
Discovering and Querying Hybrid Linked Data
Zareen Syed, Tim Finin, Muhammad Rahman, James Kukla, Jeehye Yun
Open City Data Pipeline -- Collecting, Integrating, and Predicting Open City Data
Stefan Bischof, Christoph Martin, Axel Polleres, Patrik Schneider
On Discovering Deterministic Relationships in Multi-Label Learning via Linked Open Data
Eirini Papagiannopoulou, Grigorios Tsoumakas, Nick Bassiliades
Finding, Assessing, and Integrating Statistical Sources for Data Mining
Karin Becker, Xiaojie Tan, Shiva Jahangiri, Craig A. Knoblock
The Triplex Approach for Recognizing Semantic Relations from Noun Phrases, Appositions, and Adjectives
Seyed Iman Mirrezaei, Bruno Martins, Isabel F. Cruz
Towards a Semantic Clinical Data Warehouse: A Case Study of Discovering Similar Genes
Benedikt Kämpgen, Horst Werner, Radwan Deeb, Christof Bornhövd
Entity Recommendations Using Hierarchical Knowledge Bases
Siva Kumar Cheekula, Pavan Kapanipathi, Derek Doran, Prateek Jain, Amit Sheth
Computing Geo-Spatial Motives from Linked Data for Search-driven Applications
Andreas Both, Liliya Avdiyenko, Christiane Lemke

Challenge Papers

The Linked Data Mining Challenge 2015
Petar Ristoski, Heiko Paulheim, Vojtech Svatek, Vaclav Zeman
A Linked Data-Based Decision Tree Classifier to Review Movies
Suad Aldarra, Emir Munoz
Predicting Metacritic Film Reviews Using Linked Open Data and Semantic Technologies
Meyer A. Bossert
Utilizing the Open Movie Database API for Predicting the Review Class of Movies
Johann Schaible, Zeljko Carevic, Oliver Hopt, Benjamin Zapilko

2015-05-19: submitted by Johanna Völker, metadata incl. bibliographic data published under Creative Commons CC0
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