Web Intelligence

1. Web Intelligence (WI): A New Paradigm for Developing the Wisdom Web and Social Network Intelligence.- I. Web Agents.- 2. Agent-Based Characterization of Web Regularities.- 3. Agent-Based Composite Services in DAML-S: the Behavior-Oriented Design of an Intelligent Semantic Web.- 4. Designing Scenarios for Social Agents.- 5. Using Agent Technology to Improve the Quality of Web-Based Education.- II. Web Mining and Farming.- 6. Discovering Business Intelligence Information by Comparing Company Web Sites.- 7. Discovery of Indirect Associations from Web Usage Data.- 8. Knowledge-Based Wrapper Induction for Intelligent Web Information Extraction.- 9. Web Log Mining.- III. Web Information Retrieval.- 10. Personalized and Focused Web Spiders.- 11. Exploiting the Web as Parallel Corpora for Cross-Language Information Retrieval.- IV. Web Knowledge Management.- 12. Knowledge Representation, Sharing, and Retrieval on the Web.- 13. On-To-Knowledge: Semantic Web-Enabled Knowledge Management.- 14. Ontology Learning Part One - on Discovering Taxonomic Relations from the Web.- V. Infrastructure for Web Intelligent Systems.- 15. Algorithmic Aspects of Web Intelligent Systems.- 16. Web Document Prefetching on the Internet.- VI. Social Network Intelligence.- 17. Social Networks: From the Web to Knowledge Management.- 18. A Ranking Algorithm Based on Graph Topology to Generate Reputation or Relevance.- 19. Communityware That Facilitates Knowledge Interactions.- 20. Social Intelligence Design for Web Intelligence.- Author Index.

Ning Zhong is currently head of Knowledge Information Systems Laboratory, and a professor in Department of Systems and Information Engineering, Graduate School, Maebashi Institute of Technology, Japan. He is also CEO of Web Intelligence Laboratory, Inc., a new type of venture intelligent IT business company. Before moving to Maebashi Institute of Technology, he was an associate professor in Department of Computer Science and Systems Engineering, Yamaguchi University, Japan. He is also a guest professor of Beijing University of Technology since 1998. He is the co-founder and co-chair of Web Intelligence Consortium (WIC), vice chair of the executive committee of the IEEE Computer Society Technical Committee on Computational Intelligence (TCCI), the advisory board of ACM SIGART, steering committee of IEEE International Conferences on Data Mining (ICDM), the advisory board of International Rough Set Society, steering committee of Pacific-Asia Conferences on Knowledge Discovery and Data Mining (PAKDD), coordinator and member of advisory board of a Special Interest Group on Granular Computing in Berkeley Initiative in Soft Computing (BISC/SIG-GrC). Dr. Jiming Liu is the Head of Computer Science Department at Hong Kong Baptist University (HKBU). He leads the AAMAS/AOC Research Group (i.e., Autonomous Agents and Multi-Agent Systems / Autonomy-Oriented Computing) at HKBU. He holds a B.Sc. degree in Physics from East China Normal University in Shanghai, an M.A. degree in Educational Technology from Concordia University in Montreal, and an M.Eng. and a Ph.D. degrees both in Electrical Engineering from McGill University in Montreal. In Feb.-July 1999, Dr. Liu was an invited Visiting Scholar in Computer Science Department, Stanford University, where he was associated with the AI & Robotics Laboratory and taught advanced graduate classes on topics related to Robot Learning, Neural Robots, and Evolutionary Robotics. He is Guest Professor at University of Science and Technology

From the reviews:



"The book deals with ... problems of web distributed intelligence. This book is the first coherently written multi-author monograph on Web Intelligence (WI). It offers a thorough introduction and systematic overview of the new fields. ... This monograph is recommended by the WIC as the first book on WI research. ... The book is a valuable and lasting source of reference for researchers and developers interested in WI. Developers and students additionally appreciate numerous illustrations and examples." (Ing. Jaroslav Veselý, Neural Network World, Vol. 14 (6), 2004)

"The book studies both the intelligent method of Web use and the intelligent Web services and the Infrastructure. ... This interesting book will be useful not only for Web theorists, scientists and pioneers, but it gives a comprehensive look at today's research direction. From this viewpoint it can be interesting for many practitioners. ... the book brings useful information also for scientists in many different fields, especially for robotics and design theories." (Tomas Brandejsky, Neural Network World, Vol. 13 (6), 2003)