Evolution of the Web in Artificial Intelligence Environments

1. Front Matter

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2. An Introduction to the Evolution of the Web in an Artificial Intelligence Environment

   • R. Nayak, L. C. Jain

   Pages 1-15

3. Innovations in Web Applications by Using the Artificial Intelligence Paradigm

   • R. Nayak, L. C. Jain

   Pages 17-40

4. Modeling Interests of Web Users for Recommendation: A User Profiling Approach and Trends

   • Daniela Godoy, Analía Amandi

   Pages 41-68

5. Context-Aware Web Content Adaptation for Mobile User Agents

   • Timo Laakko

   Pages 69-99

6. Knowledge Personalization in Web-Services-Based Environments: A Unified Approach

   • Alfredo Cuzzocrea

   Pages 101-135

7. Model-Based Data Engineering for Web Services

   • Andreas Tolk, Saikou Y. Diallo

   Pages 137-161

8. SAM: Semantic Advanced Matchmaker

   • Erdem Savas Ilhan, Ayse Basar Bener

   Pages 163-190

9. Clarifying the Meta

   • Vladan Devedžić, Dragan Gašević, Dragan Djurić

   Pages 191-200

10. Emergent Semantics in Distributed Knowledge Management

    • Carola Aiello, Tiziana Catarci, Paolo Ceravolo, Ernesto Damiani, Monica Scannapieco, Marco Viviani

    Pages 201-220

11. Web-Based Bayesian Intelligent Tutoring Systems

    • C. J. Butz, S. Hua, R. B. Maguire

    Pages 221-242

12. A Survey of Web-Based Collective Decision Making Systems

    • Jennifer H. Watkins, Marko A. Rodriguez

    Pages 243-277

13. Back Matter

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The Web has revolutionized the way we seek information on all aspects of education, entertainment, business, health and so on. The Web has evolved into a publishing medium, global electronic market and increasingly, a platform for conducting electronic commerce. A part of this success can be attributed to the tremendous advances made in the Artificial Intelligence field. The popularity of the Web has opened many opportunities to develop smart Web-based systems using artificial intelligence techniques. There exist numerous Web technology and applications that can benefit with the application of artificial intelligence techniques. It is not possible to cover them all in one book with a required degree of quality, depth and width. We present this book to discuss some important Web developments by using artificial intelligence techniques in the areas of Web personalisation, semantic Web and Web services. The primary readers of this book are undergraduate/postgraduate students, researchers and practitioners in information technology and computer science related areas. The success of this book is largely due to the collective efforts of a great team consisting of authors and reviewers. We are grateful to them for their vision and wonderful support. The final quality of selected papers reflects their efforts. Finally we would like to thank the Queensland University of Technology, Brisbane Australia and University of South Australia, Adelaide Australia for providing us the resources and time to undertake this task. We extend our sincere thanks to Scientific Publishing Services Pvt. Ltd., for the editorial support.

• Advanced Artificial Intelligence Paradigms
• Evolution of Web
• Knowledge-Based Techniques
• agents
• algorithm
• algorithms
• artificial intelligence
• evolution
• intelligence
• intelligent tutoring systems
• knowledge management
• modeling
• semantic web
• semantics

From the reviews:

"This book specifically examines the changes that have taken place because of the presence of the Web. … The editors of this volume collected a team of noted researchers to highlight artificial intelligence research that takes advantage of current Web technology. … This book provides a glimpse into just the beginning of how the Web can impact further artificial intelligence research. … Summing Up: Recommended. Advanced readers, upper-division undergraduates through researchers and faculty." (J. Y. Cheung, Choice, Vol. 46 (9), May, 2009)

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