[CEUR Workshop Proceedings] Vol-527

Copyright © 2009 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. Re-publication of material from this volume requires permission by the copyright owners. This volume is published by its editors.



URSW 2009
Uncertainty Reasoning for the Semantic Web - Volume 5



Proceedings of the Fifth International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009), collocated with the 8th International Semantic Web Conference (ISWC-2009), Washington DC, USA, October 26, 2009.

Edited by

Fernando Bobillo 1)
Paulo C. G. da Costa 2)
Claudia D'Amato 3)
Nicola Fanizzi 3)
Kathryn B. Laskey 2)
Kenneth J. Laskey 4)
Thomas Lukasiewicz 5)
Trevor Martin 6)
Matthias Nickles 7)
Michael Pool 8)
Pavel Smrž 9)

1) Universidad de Zaragoza, Departamento de Informática e Ingenieria de Sistemas, Zaragoza, Spain
2) George Mason University, Volgenau School of Information Technology and Engineering, Fairfax, VA, USA
3) Università degli Studi di Bari, Dipartimento di Informatica, Bari, Italy
4) MITRE Corporation, McLean, VA, USA
5) University of Oxford, Computing Laboratory, Oxford, UK
6) University of Bristol, Department of Engineering Mathematics, Bristol, UK
7) University of Bath, Department of Computer Science, Bath, UK
8) Convera, Inc., Vienna, VA, USA
9) Brno University of Technology, Department of Computer Graphics and Multimedia, Brno, Czech Republic

URSW 2009 was held in conjunction with the 8th International Semantic Web Conference (ISWC 2009).




Table of Contents

Foreword

Technical Papers

  1. Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil
    Rommel N. Carvalho, Kathryn B. Laskey, Paulo C. G. da Costa, Marcelo Ladeira, Laécio L. Santos, and Shou Matsumoto, pages 3-14
  2. Combining Semantic Web Search with the Power of Inductive Reasoning
    Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, and Thomas Lukasiewicz, pages 15-26
  3. Evidential Nearest-Neighbors Classification for Inductive ABox Reasoning
    Nicola Fanizzi, Claudia d'Amato, and Floriana Esposito, pages 27-38
  4. Ontology Granulation Through Inductive Decision Trees
    Bart Gajderowicz and Alireza Sadeghian, pages 39-50
  5. Axiomatic First-Order Probability
    Kathryn B. Laskey, pages 51-62
  6. An Algorithm for Learning with Probabilistic Description Logics
    José Eduardo Ochoa Luna and Fabio Gagliardi Cozman, pages 63-74

Position Papers

  1. BeliefOWL: An Evidential Representation in OWL Ontology
    Amira Essaid and Boutheina Ben Yaghlane, pages 77-80
  2. Fuzzy Taxonomies for Creative Knowledge Discovery
    Trevor Martin, Zheng Siyao, and Andrei Majidian, pages 81-84
  3. Uncertainty Reasoning for Linked Data
    Dave Reynolds, pages 85-88

08-Oct-2009: submitted by Thomas Lukasiewicz and Philippe Cudré-Mauroux
20-Oct-2009: published on CEUR-WS.org