[CEUR Workshop Proceedings] Vol-173

© 2005 for the individual papers by the papers' authors. Copying permitted for private and scientific purposes. Re-publication of material on this page requires permission by the copyright owners.





URSW '05
Uncertainty Reasoning for the Semantic Web




Proceedings of the ISWC Workshop on
Uncertainty Reasoning for the Semantic Web

Galway, Ireland, November 7, 2005.

Edited by

Paulo C. G. da Costa *
Kathryn B. Laskey *
Kenneth J. Laskey #
Michael Pool +

* George Mason University Volgenau School of Information Technology and Engineering, Fairfax, VA 22030, USA
# MITRE Corporation., 7515 Colshire Dr., McLean, VA, 22102, USA
+ Information Extraction and Transport, Inc., 1911 Fort Myer Drive, Arlington, VA, 22209, USA




Table of Contents

Technical Papers

  1. Is It Worth a Hoot? Qualms about OWL for Uncertainty Reasoning
    Mike Pool, Francis Fung, Stephen Cannon, Jeffrey Aikin
  2. A Fuzzy Semantics for Semantic Web Languages
    Mauro Mazzieri, Aldo Franco Dragoni
  3. PR-OWL: A Bayesian Ontology Language for the Semantic Web
    Paulo Costa, Kathryn Laskey, Kenneth Laskey
  4. Discovery and Uncertainty in Semantic Web Services
    Francisco Martín-Recuerda, Dave Robertson
  5. Ontology Learning and Reasoning - Dealing with Uncertainty and Inconsistency
    Peter Haase, Johanna Völker
  6. Controlling Ontology Extension by Uncertain Concepts through Cognitive Entropy
    Joaquín Borrego-Díaz, Antonia Chávez-González
  7. The Fuzzy Description Logic f-SHIN
    Giorgos Stoilos, Giorgos Stamou, Vassilis Tzouvaras, Jeff Pan, Ian Horrocks
  8. A Generic Framework for Description Logics with Uncertainty
    Volker Haarslev, Hsueh-Ieng Pai, Nematollaah Shiri
  9. Stratified Probabilistic Description Logic Programs
    Thomas Lukasiewicz

Position Papers

  1. Modeling Degrees of Conceptual Overlap in Semantic Web Ontologies
    Markus Holi, Eero Hyvönen
  2. Modeling the Non-Expected Choice: A Weighted Utility Logit
    Pia Koskenoja
  3. Ontology Based Analysis of Experimental Data
    Andrea Splendiani
  4. Paraconsistent Reasoning for the Semantic Web
    S. Schaffert, F. Bry, P. Besnard, H. Decker, S. Decker, C. Enguix, A. Herzig
  5. Representing Probabilistic Relations in RDF
    Yoshio Fukushige
  6. Statistical Reasoning - A Foundation for Semantic Web Reasoning
    Shashi Kant, Evangelos Mamas

submitted by Kathryn B. Laskey, February 7, 2006