Uncertainty Reasoning for the Semantic Web II

1. Front Matter

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2. Probabilistic and Dempster-Shafer Models

   1. PR-OWL 2.0 – Bridging the Gap to OWL Semantics

      • Rommel N. Carvalho, Kathryn B. Laskey, Paulo C. G. Costa

      Pages 1-18

   2. Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil

      • Rommel N. Carvalho, Shou Matsumoto, Kathryn B. Laskey, Paulo C. G. Costa, Marcelo Ladeira, Laécio L. Santos

      Pages 19-40

   3. Understanding a Probabilistic Description Logic via Connections to First-Order Logic of Probability

      • Pavel Klinov, Bijan Parsia

      Pages 41-58

   4. Pronto: A Practical Probabilistic Description Logic Reasoner

      • Pavel Klinov, Bijan Parsia

      Pages 59-79

   5. Instance-Based Non-standard Inferences in \(\mathcal{EL}\) with Subjective Probabilities

      • Rafael Peñaloza, Anni-Yasmin Turhan

      Pages 80-98

3. Fuzzy and Possibilistic Models

   1. Finite Fuzzy Description Logics and Crisp Representations

      • Fernando Bobillo, Umberto Straccia

      Pages 99-118

   2. Reasoning in Fuzzy OWL 2 with DeLorean

      • Fernando Bobillo, Miguel Delgado, Juan Gómez-Romero

      Pages 119-138

   3. Dealing with Contradictory Evidence Using Fuzzy Trust in Semantic Web Data

      • Miklos Nagy, Maria Vargas-Vera

      Pages 139-157

   4. Storing and Querying Fuzzy Knowledge in the Semantic Web Using FiRE

      • Nikolaos Simou, Giorgos Stoilos, Giorgos Stamou

      Pages 158-176

   5. Transforming Fuzzy Description Logic \(\mathcal{ALC}_\mathcal{FL}\) into Classical Description Logic \(\mathcal{ALCH}\)

      • Yining Wu

      Pages 177-196

   6. A Fuzzy Logic-Based Approach to Uncertainty Treatment in the Rule Interchange Format: From Encoding to Extension

      • Jidi Zhao, Harold Boley, Jing Dong

      Pages 197-216

4. Inductive Reasoning and Machine Learning

   1. PrOntoLearn: Unsupervised Lexico-Semantic Ontology Generation Using Probabilistic Methods

      • Saminda Abeyruwan, Ubbo Visser, Vance Lemmon, Stephan Schürer

      Pages 217-236

   2. Semantic Web Search and Inductive Reasoning

      • Claudia d’Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz

      Pages 237-261

   3. Ontology Enhancement through Inductive Decision Trees

      • Bart Gajderowicz, Alireza Sadeghian, Mikhail Soutchanski

      Pages 262-281

   4. Assertion Prediction with Ontologies through Evidence Combination

      • Giuseppe Rizzo, Claudia d’Amato, Nicola Fanizzi, Floriana Esposito

      Pages 282-299

5. Hybrid Approaches

   1. Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations

      • Claudia d’Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz

      Pages 300-314

   2. Efficient Trust-Based Approximate SPARQL Querying of the Web of Linked Data

      • Kuldeep B. R. Reddy, P. Sreenivasa Kumar

      Pages 315-330

6. Back Matter

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This book contains revised and significantly extended versions of selected papers from three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2008, 2009, and 2010 or presented at the first international Workshop on Uncertainty in Description Logics (UniDL), held at the Federated Logic Conference (FLoC) in 2010. The 17 papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches.

• fuzzy logic
• knowledge management
• linked data
• ontology learning
• probability theory

• Department of Computer Science and Systems Engineering, University of Zaragoza, Zaragoza, Spain

  Fernando Bobillo

• Department of Systems Engineering and Operations Research, George Mason University, Fairfax, USA

  Paulo C. G. Costa, Kathryn B. Laskey

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

  Claudia d’Amato

• Dipatimento di Informatica and CILA, Università degli Studi di Bari, Bari, Italy

  Nicola Fanizzi

• MIRTE Corporation, McLean, USA

  Kenneth J. Laskey

• Department of Computer Science, University of Oxford, Oxford, UK

  Thomas Lukasiewicz

• Technische Universität München, Garching, Germany

  Matthias Nickles

• Goldman Sachs, Jersey City, USA

  Michael Pool

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