Data Intensive Computing for Biodiversity
This book is focused on the development of a data integration framework for retrieval of biodiversity information from heterogeneous and distributed data sources. The data integration system proposed in this book links remote databases in a networked envi
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Sarinder K. Dhillon Amandeep S. Sidhu
Data Intensive Computing for Biodiversity
13
485
Studies in Computational Intelligence Data, Semantics and Cloud Computing Volume 485
Series Editor J. Kacprzyk, Warsaw, Poland
For further volumes: http://www.springer.com/series/11756
Sarinder K. Dhillon Amandeep S. Sidhu •
Data Intensive Computing for Biodiversity
123
Dr. Amandeep S. Sidhu Curtin Sarawak Research Institute Curtin University Miri, Sarawak Malaysia
Dr. Sarinder K. Dhillon Faculty of Science Institute of Biological Sciences University of Malaya Kuala Lumpur Malaysia
ISSN 1860-949X ISBN 978-3-642-38046-4 DOI 10.1007/978-3-642-38047-1
ISSN 1860-9503 (electronic) ISBN 978-3-642-38047-1 (eBook)
Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2013937596 Ó Springer-Verlag Berlin Heidelberg 2013 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. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. 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. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Biodiversity information has grown tremendously over these years, so has the need to digitize, store, and share the diverse knowledge in this area. Numerous data integration efforts have been researched on and built for various biological data sets; however, in Malaysia there is considerable need in sharing and integration of biodiversity data. This is due to issues such a
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