Uncertainty Reasoning for the Semantic Web III ISWC Internationa
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 2011, 2012, and 2013. The 16 papers p
- PDF / 16,607,823 Bytes
- 346 Pages / 439.37 x 666.142 pts Page_size
- 5 Downloads / 182 Views
Fernando Bobillo · Rommel N. Carvalho Paulo C.G. Costa · Claudia d'Amato Nicola Fanizzi · Kathryn B. Laskey Kenneth J. Laskey · Thomas Lukasiewicz Matthias Nickles · Michael Pool (Eds.)
Uncertainty Reasoning for the Semantic Web III ISWC International Workshops URSW 2011–2013 Revised Selected Papers
123
Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science LNAI Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany
8816
More information about this series at http://www.springer.com/series/1244
Fernando Bobillo Rommel N. Carvalho Paulo C.G. Costa Claudia d’Amato Nicola Fanizzi Kathryn B. Laskey Kenneth J. Laskey Thomas Lukasiewicz Matthias Nickles Michael Pool (Eds.) •
•
•
•
•
Uncertainty Reasoning for the Semantic Web III ISWC International Workshops URSW 2011–2013 Revised Selected Papers
123
Editors Fernando Bobillo University of Zaragoza Zaragoza Spain
Kathryn B. Laskey George Mason University Fairfax, VA USA
Rommel N. Carvalho Universidade de Brasília Brasília Brazil
Kenneth J. Laskey MITRE Corporation McLean, VA USA
Paulo C.G. Costa George Mason University Fairfax, VA USA
Thomas Lukasiewicz University of Oxford Oxford UK
Claudia d’Amato Università degli Studi di Bari Bari Italy
Matthias Nickles National University of Ireland Galway Ireland
Nicola Fanizzi Università degli Studi di Bari Bari Italy
Michael Pool Goldman Sachs Washington, DC USA
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-319-13412-3 ISBN 978-3-319-13413-0 (eBook) DOI 10.1007/978-3-319-13413-0 Library of Congress Control Number: 2014956507 LNCS Sublibrary: SL7 – Artificial Intelligence Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained here
Data Loading...
