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Uncertainty Reasoning for the Semantic Web I

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

  • Conference proceedings
  • © 2008

Overview

Editors:
  1. Paulo Cesar G. Costa

    1. George Mason University, Virginia, USA

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  2. Claudia d’Amato

    1. Dipartimento di Informatica,, Università degli Studi di Bari, Bari, Italy

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  3. Nicola Fanizzi

    1. Dipartimento di Informatica, Università degli Studi di Bari, Bari, Italy

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  4. Kathryn B. Laskey

    1. George Mason University, Fairfax, USA

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  5. Kenneth J. Laskey

    1. MIRTE Corporation, McLean, USA

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  6. Thomas Lukasiewicz

    1. Computing Laboratory, Oxford University, Oxford OX1 3QD, UK

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  7. Matthias Nickles

    1. University of Bath, Bath, UK

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  8. Michael Pool

    1. Convera, Inc., Vienna, USA

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

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: URSW 2005. URSW 2006. URSW 2007.

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Table of contents (22 papers)

  1. Front Matter

    Download chapter PDF

  2. Probabilistic and Dempster-Shafer Models

    1. Just Add Weights: Markov Logic for the Semantic Web

      • Pedro Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla
      Pages 1-25

    2. Semantic Science: Ontologies, Data and Probabilistic Theories

      • David Poole, Clinton Smyth, Rita Sharma
      Pages 26-40

    3. Probabilistic Dialogue Models for Dynamic Ontology Mapping

      • Paolo Besana, Dave Robertson
      Pages 41-51

    4. An Approach to Probabilistic Data Integration for the Semantic Web

      • Andrea Calì, Thomas Lukasiewicz
      Pages 52-65

    5. Rule-Based Approaches for Representing Probabilistic Ontology Mappings

      • Andrea Calì, Thomas Lukasiewicz, Livia Predoiu, Heiner Stuckenschmidt
      Pages 66-87

    6. PR-OWL: A Bayesian Ontology Language for the Semantic Web

      • Paulo Cesar G. da Costa, Kathryn B. Laskey, Kenneth J. Laskey
      Pages 88-107

    7. Discovery and Uncertainty in Semantic Web Services

      • Francisco Martín-Recuerda, Dave Robertson
      Pages 108-123

    8. An Approach to Description Logic with Support for Propositional Attitudes and Belief Fusion

      • Matthias Nickles, Ruth Cobos
      Pages 124-142

    9. Using the Dempster-Shafer Theory of Evidence to Resolve ABox Inconsistencies

      • Andriy Nikolov, Victoria Uren, Enrico Motta, Anne de Roeck
      Pages 143-160

    10. An Ontology-Based Bayesian Network Approach for Representing Uncertainty in Clinical Practice Guidelines

      • Hai-Tao Zheng, Bo-Yeong Kang, Hong-Gee Kim
      Pages 161-173

  3. Fuzzy and Possibilistic Models

    1. A Crisp Representation for Fuzzy \(\cal SHOIN\) with Fuzzy Nominals and General Concept Inclusions

      • Fernando Bobillo, Miguel Delgado, Juan Gómez-Romero
      Pages 174-188

    2. Optimizing the Crisp Representation of the Fuzzy Description Logic \(\cal \mathcal{SROIQ}\)

      • Fernando Bobillo, Miguel Delgado, Juan Gómez-Romero
      Pages 189-206

    3. Uncertainty Issues and Algorithms in Automating Process Connecting Web and User

      • Alan Eckhardt, Tomáš Horváth, Dušan Maruščák, Róbert Novotný, Peter Vojtáš
      Pages 207-223

    4. Granular Association Rules for Multiple Taxonomies: A Mass Assignment Approach

      • Trevor P. Martin, Yun Shen, Ben Azvine
      Pages 224-243

    5. A Fuzzy Semantics for the Resource Description Framework

      • Mauro Mazzieri, Aldo Franco Dragoni
      Pages 244-261

    6. Reasoning with the Fuzzy Description Logic f-\(\mathcal{SHIN}\): Theory, Practice and Applications

      • Giorgos Stoilos, Giorgos Stamou, Jeff Z. Pan, Nick Simou, Vassilis Tzouvaras
      Pages 262-281

  4. Inductive Reasoning and Machine Learning

    1. Towards Machine Learning on the Semantic Web

      • Volker Tresp, Markus Bundschus, Achim Rettinger, Yi Huang
      Pages 282-314

    2. Using Cognitive Entropy to Manage Uncertain Concepts in Formal Ontologies

      • Joaquín Borrego-Díaz, Antonia M. Chávez-González
      Pages 315-329

    3. Analogical Reasoning in Description Logics

      • Claudia d’Amato, Nicola Fanizzi, Floriana Esposito
      Pages 330-347
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Other volumes

  1. Uncertainty Reasoning for the Semantic Web I

Keywords

About this book

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.

Editors and Affiliations

  • George Mason University, Virginia, USA

    Paulo Cesar G. Costa

  • Dipartimento di Informatica,, Università degli Studi di Bari, Bari, Italy

    Claudia d’Amato

  • Dipartimento di Informatica, Università degli Studi di Bari, Bari, Italy

    Nicola Fanizzi

  • George Mason University, Fairfax, USA

    Kathryn B. Laskey

  • MIRTE Corporation, McLean, USA

    Kenneth J. Laskey

  • Computing Laboratory, Oxford University, Oxford OX1 3QD, UK

    Thomas Lukasiewicz

  • University of Bath, Bath, UK

    Matthias Nickles

  • Convera, Inc., Vienna, USA

    Michael Pool

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