Community-Built Databases Research and Development
Communities have built collections of information in collaborative ways for centuries. Most recently, Wikipedia is the most prominent example of how collaborative efforts can be powerful in building massive data storage. Other global member-built media da
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Eric Pardede Editor
Community-Built Databases Research and Development
Editor Dr. Eric Pardede La Trobe University Dept. Computer Science & Computer Engineering Bundoora, VIC Australia [email protected]
ACM Computing Classification (1998): H.3, H.4, H.5.3, K.4 ISBN 978-3-642-19046-9 e-ISBN 978-3-642-19047-6 DOI 10.1007/978-3-642-19047-6 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: 2011928234 # 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, reuse of illustrations, recitation, broadcasting, reproduction on microfilm 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. Cover design: deblik Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Communities have built collections of information in a collaborative manner for centuries. Around 250 years ago, more than 140 people wrote l’Encyclopedie in 28 volumes with 70,000 articles. More recently, Wikipedia has demonstrated how collaborative efforts can be a powerful method of building a massive data storage. It is known that Wikipedia has become a key part of many corporations’ knowledge management systems for decision making. Wikipedia is only one example brought about by Web 2.0 with the goal of creating communities of users. We have witnessed global member-built mediadata storage such as Flickr and YouTube, and other social networking applications such as Friendster, Facebook, and LinkedIn, also share information between members in a large unstructured information pool. While Web 2.0 has many benefits, there are many more opportunities to be unleashed. Imagine if we could use information gathered by many people for critical decision making. There is great potential for creating and sharing more structured data through the web. To make it more regulated and more realistic, the data will be limited to the community scale rather than the global scale, for example, an academic research community and a community of doctors in a particular region. Each community can create a large database in which each member can contribute information freely and can use the information with higher levels of confidence. This book addresses the need for comprehensive research sources in communitybuilt databases. This book does not only focus on one database area or one domain; rathe
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