TABLE OF CONTENTS Yan-Qing Zhang
Department of Computer Science, Georgia State University
P.O. Box 4110, Atlanta, GA 30302, USA
E-mail: yzhang@cs.gsu.edu
Abraham Kandel
Department of Computer Science and Engineering, University of South Florida
4202 E. Fowler Ave., ENB 118, Tampa, FL 33620, USA
E-mail: kandel@csee.usf.edu
Faculty of Engineering, Tel-Aviv University, Tel-Aviv 69978, Israel
Tsau Young Lin
Department of Computer Science, San Jose State University
San Jose, CA 95192, USA
E-mail: tylin@cs.sjsu.edu
Yiyu Yao
Department of Computer Science, University of Regina
Regina, Saskatchewan, Canada S4S 0A2
E-mail: yyao@cs.uregina.ca
With explosive growth of data and information on wired and wireless networks, there are more and more challenging intelligent e-Application problems in terms of Web QoI (Quality of Intelligence). We mainly discuss Computational Web Intelligence (CWI) based on both Computational Intelligence (CI) and Web Technology (WT). In addition, we briefly introduce a broad research area called Hybrid Web Intelligence (HWI) based on AI (Artificial Intelligence), BI (Biological Intelligence), CI, WT and other relevant techniques. Generally, the intelligent e-brainware based on CWI and HWI can be widely used in smart e-Business applications on wired and wireless networks.
AI techniques have been used in single-computer-based intelligent systems for almost 50 years, and in networked-computers-based intelligent systems in recent years. The challenging problem is how to use AI techniques in Web-based applications on the Internet. With explosive growth of the wired and wireless networks, Web users suffer from huge amounts of raw Web data because current Web tools still cannot find satisfactory information and knowledge effectively...
