Knowledge-Driven Multimedia Information Extraction and Ontology Evolution
This book aims to cover the state of the art in the fields of ontology evolution and information extraction from multimedia, while also promoting the synergy between these two fields. The contents stem largely from the research work conducted over a perio
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Subseries of Lecture Notes in Computer Science
6050
Georgios Paliouras Constantine D. Spyropoulos George Tsatsaronis (Eds.)
Knowledge-Driven Multimedia Information Extraction and Ontology Evolution Bridging the Semantic Gap
13
Series Editors Randy Goebel, University of Alberta, Edmonton, Canada Jörg Siekmann, University of Saarland, Saarbrücken, Germany Wolfgang Wahlster, DFKI and University of Saarland, Saarbrücken, Germany Volume Editors Georgios Paliouras Constantine D. Spyropoulos National Centre for Scientific Research “Demokritos” Institute of Informatics and Telecommunications P.O. Box 60228, Ag. Paraskevi, 15310 Athens, Greece E-mail: {paliourg, costass}@iit.demokritos.gr George Tsatsaronis TU Dresden, Biotechnology Center (BIOTEC) Tatzberg 47-51, 01307 Dresden, Germany E-mail: [email protected]
ISSN 0302-9743 e-ISSN 1611-3349 ISBN 978-3-642-20794-5 e-ISBN 978-3-642-20795-2 DOI 10.1007/978-3-642-20795-2 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: 2011926569 CR Subject Classification (1998): I.2.4, I.2, H.3, H.2.8, H.5.1 LNCS Sublibrary: SL 7 – Artificial Intelligence
© Springer-Verlag Berlin Heidelberg 2011 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. The use of general descriptive names, registered names, trademarks, 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. Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
This textbook is intended for use by researchers and practitioners in the field of computer science and more specifically in knowledge representation and management, ontology evolution and information extraction from multimedia data. The reader is presumed to have a basic knowledge of knowledge representation with ontologies. Being authored by acknowledged researchers who participated in the ECsupported project BOEMIE (Bootstrapping Ontology Evolution with Multimedia Information Extraction), the book aims to cover the state of the art in the corresponding fields, while also promoting the synergy between ontology evolution and information extraction from multimedia. BOEMIE has shown that this synergy reveals a new area of research that is of great untapped potential. The book may also constitute
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