Emergent Web Intelligence - Advanced Semantic Technologies.pdf

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Advanced Information
and Knowledge Processing
Series Editors
Professor Lakhmi Jain
Lakhmi.jain@unisa.edu.au
Professor Xindong Wu
xwu@cems.uvm.edu
For other titles published in this series, go to
www.springer.com/series/4738
Youakim Badr
Richard Chbeir
Ajith Abraham
Aboul-Ella Hassanien
Editors
Emergent Web Intelligence:
Advanced Semantic
Technologies
748973103.002.png
Editors
Dr. Youakim Badr
INSA de Lyon
Université de Lyon
Département Informatique
7 avenue Jean Capelle
69621 Villeurbanne Cedex
France
youakim.badr@insa-lyon.fr
Dr. Richard Chbeir
Université de Bourgogne
LE21-UMR CNRS 5158
Faculté des Sciences Mirande
21078 Dijon Cedex
France
richard.chbeir@u-bourgogne.fr
Dr. Aboul-Ella Hassanien
Kuwait University
College of Business & Administration
Dept. Quantitative Methods
& Information Systems
PO Box 5486
13055 Safat
Kuwait
abo@cba.edu.kw
Dr. Ajith Abraham
Norwegian University
of Science and Technology
Center for Quantifiable Quality
of Service in Communication Systems
O.S. Bragstads plass 2E
7491 Trondheim
Norway
ajith.abraham@ieee.org
ISSN 1610-3947
ISBN 978-1-84996-076-2
e-ISBN 978-1-84996-077-9
DOI 10.1007/978-1-84996-077-9
Springer London Dordrecht Heidelberg New York
British Library Cataloguing in Publication Data
A catalogue record for this book is available from the British Library
Library of Congress Control Number: 2010926929
© Springer-Verlag London Limited 2010
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Preface
The success of the World Wide Web depends on the ability of users to store, pro-
cess and retrieve digital information regardless of distance boundaries, languages
and domains of knowledge. The universality and flexibility of the World Wide Web
have also enabled the rapid growth of a variety of new services and applications
based on human–machine interaction. The semantics of exchanged information and
services should be useful not only for human to human communications, but also in
that machines would be able to understand and automatically process web content.
Semantics give well-defined meaning to web content and enable computers and peo-
ple to work in cooperation. Today, the crucial challenge becomes the development
of languages to express information in a machine processable format. Now more
than ever, new advanced techniques and intelligent approaches are required to trans-
form the Web into a universal reasoning and computing machine. Web intelligence
attempts to deal with this challenge by exploiting information technologies and ar-
tificial intelligence approaches to design the next generation of web-empowered
systems and services.
1 Introduction
The semantic Web plays a crucial role in the development of information technolo-
gies and services on the World Wide Web. It takes on new challenges in which the
meaning of information enable computers to understand the Web content and imi-
tate human intelligence in performing more of the tedious tasks involved in finding,
sharing, and combining information on the web. Until now computers have not been
able to fully accomplish these tasks without human intervention since web pages are
designed to be understood by people, not machines. Tim Berners-Lee originally ex-
pressed his vision about the semantic Web. In his word, he wrote: “ [I] have a dream
for the Web [in which computers] become capable of analyzing all the data on the
Web—the content, links, and transactions between people and computers. A ‘Seman-
tic Web’, which should make this possible, has yet to emerge, but when it does, the
day-to-day mechanisms of trade, bureaucracy and our daily lives will be handled by
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