Uncertainty reasoning for the semantic web I : ISWC international workshops, URSW 2005-2007 : revised selected and invited papers

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. Front Matter....Pages - Just Add Weights: Markov Logic for the Semantic Web....Pages 1-25 Semantic Science: Ontologies, Data and Probabilistic Theories....Pages 26-40 Probabilistic Dialogue Models for Dynamic Ontology Mapping....Pages 41-51 An Approach to Probabilistic Data Integration for the Semantic Web....Pages 52-65 Rule-Based Approaches for Representing Probabilistic Ontology Mappings....Pages 66-87 PR-OWL: A Bayesian Ontology Language for the Semantic Web....Pages 88-107 Discovery and Uncertainty in Semantic Web Services....Pages 108-123 An Approach to Description Logic with Support for Propositional Attitudes and Belief Fusion....Pages 124-142 Using the Dempster-Shafer Theory of Evidence to Resolve ABox Inconsistencies....Pages 143-160 An Ontology-Based Bayesian Network Approach for Representing Uncertainty in Clinical Practice Guidelines....Pages 161-173 A Crisp Representation for Fuzzy $\cal SHOIN$ with Fuzzy Nominals and General Concept Inclusions....Pages 174-188 Optimizing the Crisp Representation of the Fuzzy Description Logic $\cal \mathcal{SROIQ}$ ....Pages 189-206 Uncertainty Issues and Algorithms in Automating Process Connecting Web and User....Pages 207-223 Granular Association Rules for Multiple Taxonomies: A Mass Assignment Approach....Pages 224-243 A Fuzzy Semantics for the Resource Description Framework....Pages 244-261 Reasoning with the Fuzzy Description Logic f- $\mathcal{SHIN}$ : Theory, Practice and Applications....Pages 262-281 Towards Machine Learning on the Semantic Web....Pages 282-314 Using Cognitive Entropy to Manage Uncertain Concepts in Formal Ontologies....Pages 315-329 Analogical Reasoning in Description Logics....Pages 330-347 Approximate Measures of Semantic Dissimilarity under Uncertainty....Pages 348-365 Ontology Learning and Reasoning — Dealing with Uncertainty and Inconsistency....Pages 366-384 Uncertainty Reasoning for Ontologies with General TBoxes in Description Logic....Pages 385-402 Back Matter....Pages -

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.

Constitutes the first three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2005, 2006, and 2007. This title presents 22 papers that are versions of selected workshops papers as well as invited contributions from leading experts in the field and closely related areas.