Knowledge Engineering and Knowledge Management EKAW 2016 Satellite E
This book contains the best selected papers of two Satellite Events held at the 20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016, in November 2016 in Bologna, Italy: The Second International Workshop on Educa
- PDF / 24,171,082 Bytes
- 296 Pages / 439.37 x 666.142 pts Page_size
- 55 Downloads / 301 Views
Paolo Ciancarini · Francesco Poggi Matthew Horridge · Jun Zhao Tudor Groza · Mari Carmen Suarez-Figueroa Mathieu d'Aquin · Valentina Presutti (Eds.)
Knowledge Engineering and Knowledge Management EKAW 2016 Satellite Events, EKM and Drift-an-LOD Bologna, Italy, November 19–23, 2016 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
10180
More information about this series at http://www.springer.com/series/1244
Paolo Ciancarini Francesco Poggi Matthew Horridge Jun Zhao Tudor Groza Mari Carmen Suarez-Figueroa Mathieu d’Aquin Valentina Presutti (Eds.) •
•
•
•
Knowledge Engineering and Knowledge Management EKAW 2016 Satellite Events, EKM and Drift-an-LOD Bologna, Italy, November 19–23, 2016 Revised Selected Papers
123
Editors Paolo Ciancarini University of Bologna Bologna Italy
Tudor Groza Garvan Institute of Medical Research Darlinghurst, NSW Australia
Francesco Poggi University of Bologna Bologna Italy
Mari Carmen Suarez-Figueroa Universidad Politecnica de Madrid Boadilla del Monte Spain
Matthew Horridge Stanford University Palo Alto, CA USA
Mathieu d’Aquin The Open University Milton Keynes UK
Jun Zhao Lancaster University Lancaster UK
Valentina Presutti STLab ISTC-CNR Rome Italy
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-319-58693-9 ISBN 978-3-319-58694-6 (eBook) DOI 10.1007/978-3-319-58694-6 Library of Congress Control Number: 2017940247 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer International Publishing AG 2017 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 herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and
