Reasoning Web: Second International Summer School 2006, Lisbon, Portugal, September 4-8, 2006, Tutorial Lectures

Overview

This book presents thoroughly arranged tutorial papers corresponding to lectures given by leading researchers at the Second International Summer School on Reasoning Web in Lisbon, Portugal, in September 2006. Building on the predessor school held in 2005 and published as LNCS 3564, the ten tutorial lectures presented provide competent coverage of current topics in semantic Web research and development.

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Paperback (2006)
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Overview

This book presents thoroughly arranged tutorial papers corresponding to lectures given by leading researchers at the Second International Summer School on Reasoning Web in Lisbon, Portugal, in September 2006. Building on the predessor school held in 2005 and published as LNCS 3564, the ten tutorial lectures presented provide competent coverage of current topics in semantic Web research and development.

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Editorial Reviews

From the Publisher

From the reviews:

"The tutorial papers presented provide good coverage of specific methods and issues of the semantic Web, Web rule and query language, ontology languages, the resource description framework (RDF), and other topics, including some implementations, ranging from theoretical and fundamental aspects to various applied topics. This book will help researchers familiarize themselves with some of the technologies proposed." (Hector Zenil, Computing Reviews, January, 2008)

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Product Details

Table of Contents

RDF Querying: Language Constructs and Evaluation Methods Compared.- Querying the Web with SPARQL.- Composition of Rule Sets and Ontologies.- Reasoning with Rules and Ontologies.- Integrating Ontologies and Rules: Semantic and Computational Issues.- Business Rules in the Semantic Web, Are There Any or Are They Different?.- Ontologies and Text Mining as a Basis for a Semantic Web for the Life Sciences.- Integrating Web Resources to Model Protein Structure and Function.- Ontological and Practical Issues in Using a Description Logic to Represent Medical Concept Systems: Experience from GALEN.- The Semantic Web from an Industry Perspective.

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