Uncertainty Reasoning for the Semantic Web I ISWC International Workshop, 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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Costa, Paulo Cesar G. (Editor ), d'Amato, Claudia (Editor ), Fanizzi, Nicola (Editor ), Laskey, Kathryn B. (Editor ), Laskey, Kenneth J. (Editor ), Nickles, Matthias (Editor ), Pool, Michael (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Lecture Notes in Artificial Intelligence, 5327
Temas:
Artificial intelligence.
Computer science.
Computer programming.
Computer science-Mathematics.
Mathematical statistics.
Artificial Intelligence.
Computer Science.
Programming Techniques.
Models of Computation.
Probability and Statistics in Computer Science.
Mathematical Applications in Computer Science.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:XIV, 403 p. online resource.
ISBN:9783540897651
ISSN:2945-9141 ;

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