© 2010

Emergent Web Intelligence: Advanced Semantic Technologies

  • Youakim Badr
  • Richard Chbeir
  • Ajith Abraham
  • Aboul-Ella Hassanien

Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Table of contents

  1. Front Matter
    Pages I-XXVII
  2. Web, Semantic and Intelligence

    1. Front Matter
      Pages 1-1
    2. Marko A. Rodriguez, Alberto Pepe, Joshua Shinavier
      Pages 3-15
  3. Collaboration, Semantic and Intelligence

    1. Front Matter
      Pages 103-103
    2. Anastasia Karanastasi, Nikolaos Matsatsinis
      Pages 105-120
    3. C. H. C. Leung, J. Liu, A. Milani, W. S. Chan
      Pages 121-135
    4. Dominique Decouchant, Sonia Mendoza, José Rodríguez
      Pages 137-184
    5. Nader Cheaib, Samir Otmane, Malik Mallem
      Pages 185-210
  4. Knowledge, Text, Semantic and Intelligence

    1. Front Matter
      Pages 211-211
    2. Nhien An Le Khac, Lamine M. Aouad, M-Tahar Kechadi
      Pages 213-243
    3. Marek Wisniewski
      Pages 245-276
    4. Marcus V. C. Guelpeli, Ana Cristina Bicharra Garcia, Flavia Cristina Bernardini
      Pages 277-306
  5. Applications and Case Studies

    1. Front Matter
      Pages 353-353
    2. Ana Cavalli, Mounir Lallali, Stephane Maag, Gerardo Morales, Fatiha Zaidi
      Pages 355-394
    3. Matthias Niederhausen, Stefan Pietschmann, Tobias Ruch, Klaus Meißner
      Pages 395-428

About this book


The future of the World Wide Web depends on its ability to understand and automatically process content to enable computers and people to work in cooperation. Now more than ever, new advanced techniques and intelligent approaches are required to transform the Web into a universal reasoning and semantic-driven computing machine. The Web intelligence discipline attempts to deal with this challenge by exploiting information technologies and artificial intelligence approaches to design the next generation of web-empowered systems and future Internet services.‘The Emergent Web Intelligence: Advanced Semantic Technologies' book provides valuable references and cutting-edge technologies for anyone interested in exploring how semantic techniques and technologies can bridge the gap between users and applications on the Web.

This book presents cutting-edge research in the field of semantic technologies. Its seventeen chapters are arranged into four parts and identify interdisciplinary challenges in the areas of the Semantic Web, artificial intelligence, and knowledge-based services. The chapters provide analysis and insight into semantic Web techniques and are authored by reputable scientists in the field. All articles are self-contained to provide the greatest reading flexibility and aim to serve as a reference for researchers in the Semantic Web community.


Collaboration artificial intelligence classification fuzzy groupware information system intelligence knowledge discovery learning ontology semantic web semantics software agent

Editors and affiliations

  • Youakim Badr
    • 1
  • Richard Chbeir
    • 2
  • Ajith Abraham
    • 3
  • Aboul-Ella Hassanien
    • 4
  1. 1.INSA de LyonVilleurbanne CXFrance
  2. 2.Fac. Sciences Mirande, UMR CNRS 5158Université de BourgogneDijon CXFrance
  3. 3.Technology, Center for Quantifiable Quality ofNorwegian University of Science &TrondheimNorway
  4. 4.College of Business & Administration, Dept. Quantitative Methods &Kuwait UniversitySafatKuwait

About the editors

Youakim Badr has a Doctorate in Information Systems from the French National Institute for Applied Sciences in Lyon (INSA-Lyon). In 2004, he joined the faculty of the INSA of Lyon as Assistant Professor of Computer Science. He teaches in both the Department of Computer Engineering and the Department of Industrial Engineering. He also contributes largely to the INSA’s new International Master Program in Information Systems and represents the Industrial Engineering Department abroad through his work in international relations.

Dr. Badr has worked extensively in the field of coupling XML documents and Object-Relational Databases. Through his research he has acquired skills in fields such as Interoperability, Modeling, System Architectures and Networking, and their application to various domains such as Business Processes, Supply Chains, Productions Systems, Virtual Enterprises and e-commerce. His current academic research interests include systems in both the service sector and ICT. In particular, he studies the ecosystem of services and the multidisciplinary modeling approach to design services through the integration of ICT, strategy and processes. He leads the Service-Oriented Enterprise research team which combines industrial and computer engineering approaches. In this context, he co-supervises several graduate students and actively participates in national and international projects.

Richard Chbeir received his Ph. D in Computer Science from the INSA DE Lyon-France in 2001. He has been a member of IEEE and ACM since 1999. He is currently an Associate Professor in the Computer Science Department of the Bourgogne University, Dijon-France. His research interests are in the areas of distributed multimedia database management, XML similarity and rewriting, spatio-temporal applications, indexing methods, and multimedia access control models. Dr. Chbeir has published (more than 40 peer-reviewed publications) in international journals and books (IEEE Transactions on SMC, Information Systems, Journal on Data Semantics, Journal of Systems Architecture), conferences ( ER, WISE, SOFSEM, EDBT, ACM SAC, Visual, IEEE CIT, FLAIRS, PDCS) and has served on the program committees of several international conferences (SOFSEM, AINA, IEEE SITIS, ACM SAC, IEEE ISSPIT, EuroPar, SBBD). He has been organizing many international conferences and workshops (ACM SAC, ICDIM, CSTST, SITIS). He is currently the Vice-Chair of the ACM SIGAPP and the Chair of its French Chapter.


Ajith Abraham received his Ph.D degree in computer science from Monash University, Melbourne, Australia. His research and development experience includes over 18 years in the Industry and Academia. He works in a multidisciplinary environment involving machine intelligence, network security, sensor networks, e-commerce, Web intelligence, Web services, computational grids, data mining, and applications to various real-world problems. He has given more than 30 plenary lectures and conference tutorials in these areas. He has authored or coauthored more than 500 publications. He works with the Norwegian University of Science and Technology, Norway and also coordinates the activities of Machine Intelligence Research Labs (MIR Labs), which has representation in 47 countries. He is the Co-Chair of the IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing. He is the founder of several conference series, which are now sponsored by IEEE and also serves the editorial board of over 30 editorial journals.


Aboul Ella Hassanien received his B.Sc. with honours in 1986 and M.Sc degree in 1993, both from Ain Shams University, Faculty of Science, Ain from the Department of Computer Science, Graduate School of Science and Engineering, Tokyo Institute of Technology, Japan. He is currently a Professor at Cairo University, Faculty of Computer and Information. He has authored/coauthored over 120 research publications in peer-reviewed reputed journals and conference proceedings. He serves on the editorial board and is a reviewer of a number of journals and he is also on the program committee of several international conferences and he has edited/written more than 18 books. He received the Excellent Young Researcher award from Kuwait University.


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From the reviews:

“The book starts with an explanation of the resource description framework (RDF). It provides readers with the theoretical aspects of the RDF using mathematical notations. … Readers who have some inclination toward mathematics should enjoy this. Another aspect of the book’s writing style will also be very conducive to learning … . Overall, this very good book provides good insight into Web intelligence. … can be used as a reference for courses related to Web intelligence and emerging Web technologies.” (Varadraj Gurupur, ACM Computing Reviews, January, 2011)