| 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
2015-05-19: published on CEUR-WS.org |valid HTML5|