Web Intelligence

ISBN-13: 9783540443841 / Angielski / Twarda / 2003 / 440 str.

Ning Zhong; Yiyu Yao; Jiming Liu

Opis

This book is the first coherently written multi-author monograph on Web Intelli gence (WI). It offers a thorough introduction and a systematic overview of the new field. It reflects the current state of the research and development in various areas of WI, as well as theoretical and application aspects of WI and Web-based intelligent information systems and services. It highlights several promising WI topics, which will impact on the development of the ultimate Wisdom Web. The book contains one introductory paper and 19 survey/research papers. The papers are structured into six parts: Web agents, Web mining and farming, Web information retrieval, Web knowledge management, the infrastructure for Web in telligent systems, and social network intelligence. We conceived and coined the notion Web Intelligence in late 1999. Back then although there was a variety of Web- or Internet-related conferences, journals, and books, none was devoted to the intelligence aspects of Web information systems and services. It was felt that there was a need for a conference, a journal, and/or books for researchers, scientists, and industry practitioners who wanted to publish and exchange ideas on Web Intelligence. At the 24th Annual International Computer Software and Applications Confer ence (IEEE COMPSAC) in 2000, we first introduced Web Intelligence. In 2001, the first Web Intelligence conference (WI 2001, http: //kis.maebashi-it.ac.jp/wiOll) was successfully held in Maebashi, Japan."

Recenzje

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)

Spis treści

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.

O autorze

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. 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).

Blurb

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.