Web Intelligence

This excellently written monograph provides for the first time ever - a thorough introduction and systematic overview of all aspects of intelligent data processing on the Web. It presents both the current state of research as well as application aspects. All major topics related to Web Intelligence which can have impact on future directions and developments are presented in detail. This book will be a valuable source of reference for years to all research and development professionals interested in Web Intelligence. Students will also appreciate the numerous illustrations and examples.

Comprehensive overview over this emerging research area Key contributions from leading researchers, Zhong coined the term "web intelligence" Covers all areas of intelligent data processing in the Web like web agents, web knowledge mangement, web information systems, ontologies Covers both theoretical and application aspects Includes supplementary material: sn.pub/extras

Autorentext
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 of China, East China Normal University (Software Engineering Institute), and Beijing University of Technology, as well as Adjunct Fellow at E-Business Technology Institute (ETI - a joint partnership institute between IBM and University of Hong Kong). Dr. Liu is the co-founder of Web Intelligence Consortium (WIC), an international organization dedicated to promoting world-wide scientific research and industrial development in the era of Web and agent Intelligence. He has founded andserved, or is serving, as Program, Conference, Workshop, and General Chairs for several international conferences and workshops, including The IEEE/WIC International Conference on Web Intelligence (WI) series and The IEEE/WIC International Conference on Intelligent Agent Technology (IAT) series, and is presently serving as the Senior Program Committee Member, Program Committee Member, and Steering/Planning Committee Member for many major international conferences.

Klappentext

Web Intelligence is a new direction for scientific research and development that explores the fundamental roles as well as practical impacts of artificial intelligence and advanced information technology for the next generation of Web-empowered systems, services, and environments. Web Intelligence is regarded as the key research field for the development of the Wisdom Web (including the Semantic Web).

As the first book devoted to Web Intelligence, this coherently written multi-author monograph provides a thorough introduction and a systematic overview of this new field. It presents both the current state of research and development as well as application aspects. The book will be a valuable and lasting source of reference for researchers and developers interested in Web Intelligence. Students and developers will additionally appreciate the numerous illustrations and examples.

Inhalt

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.