Uncertainty Reasoning for the Semantic Web I

ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers

  • Paulo Cesar G. da Costa
  • Claudia d’Amato
  • Nicola Fanizzi
  • Kathryn B. Laskey
  • Kenneth J. Laskey
  • Thomas Lukasiewicz
  • Matthias Nickles
  • Michael Pool
Conference proceedings URSW 2006, URSW 2007, URSW 2005

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5327)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5327)

Table of contents

  1. Front Matter
  2. Probabilistic and Dempster-Shafer Models

    1. Pedro Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla
      Pages 1-25
    2. David Poole, Clinton Smyth, Rita Sharma
      Pages 26-40
    3. Paolo Besana, Dave Robertson
      Pages 41-51
    4. Andrea Calì, Thomas Lukasiewicz
      Pages 52-65
    5. Andrea Calì, Thomas Lukasiewicz, Livia Predoiu, Heiner Stuckenschmidt
      Pages 66-87
    6. Paulo Cesar G. da Costa, Kathryn B. Laskey, Kenneth J. Laskey
      Pages 88-107
    7. Francisco Martín-Recuerda, Dave Robertson
      Pages 108-123
    8. Andriy Nikolov, Victoria Uren, Enrico Motta, Anne de Roeck
      Pages 143-160
  3. Fuzzy and Possibilistic Models

    1. Fernando Bobillo, Miguel Delgado, Juan Gómez-Romero
      Pages 174-188
    2. Fernando Bobillo, Miguel Delgado, Juan Gómez-Romero
      Pages 189-206
    3. Alan Eckhardt, Tomáš Horváth, Dušan Maruščák, Róbert Novotný, Peter Vojtáš
      Pages 207-223
    4. Trevor P. Martin, Yun Shen, Ben Azvine
      Pages 224-243
    5. Mauro Mazzieri, Aldo Franco Dragoni
      Pages 244-261
    6. Giorgos Stoilos, Giorgos Stamou, Jeff Z. Pan, Nick Simou, Vassilis Tzouvaras
      Pages 262-281
  4. Inductive Reasoning and Machine Learning

    1. Volker Tresp, Markus Bundschus, Achim Rettinger, Yi Huang
      Pages 282-314
    2. Joaquín Borrego-Díaz, Antonia M. Chávez-González
      Pages 315-329
    3. Claudia d’Amato, Nicola Fanizzi, Floriana Esposito
      Pages 330-347
    4. Nicola Fanizzi, Claudia d’Amato, Floriana Esposito
      Pages 348-365
  5. Hybrid Approaches

    1. Volker Haarslev, Hsueh-Ieng Pai, Nematollaah Shiri
      Pages 385-402
  6. Back Matter

About these proceedings


This book constitutes the thoroughly refereed first three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2005, 2006, and 2007.

The 22 papers presented are revised and strongly extended versions of selected workshops papers as well as invited contributions from leading experts in the field and closely related areas. The present volume represents the first comprehensive compilation of state-of-the-art research approaches to uncertainty reasoning in the context of the semantic Web, capturing different models of uncertainty and approaches to deductive as well as inductive reasoning with uncertain formal knowledge.


Framework Web Services bayesian ontology language cognitive entropy fuzzy description logic fuzzy semantics markov logic ontologies ontology mapping probabilistic dialogue models

Editors and affiliations

  • Paulo Cesar G. da Costa
    • 1
  • Claudia d’Amato
    • 2
  • Nicola Fanizzi
    • 3
  • Kathryn B. Laskey
    • 4
  • Kenneth J. Laskey
    • 5
  • Thomas Lukasiewicz
    • 6
  • Matthias Nickles
    • 7
  • Michael Pool
    • 8
  1. 1.George Mason UniversityVirginiaUSA
  2. 2.Dipartimento di Informatica,Università degli Studi di BariBariItaly
  3. 3.Dipartimento di InformaticaUniversità degli Studi di BariBariItaly
  4. 4.George Mason UniversityFairfaxUSA
  5. 5.MIRTE CorporationMcLeanUSA
  6. 6.Computing LaboratoryOxford UniversityOxford OX1 3QDUK
  7. 7.University of BathBathUK
  8. 8.Convera, Inc.ViennaUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-89764-4
  • Online ISBN 978-3-540-89765-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site