E Book Computational Web Intelligence Intelligent Technology for Web Applications

E Book Computational Web Intelligence Intelligent Technology for Web Applications



E Book Computational Web Intelligence Intelligent Technology for Web Applications
E Book Computational Web Intelligence Intelligent Technology for Web Applications










Author(s): Yan-Qing Zhang, A. Kandel, T. Y. Lin, Y. Y. Yao
Series: Series in Machine Perception & Artifical Intelligence
Publisher: World Scientific Publishing Company, Year: 2004
ISBN: 9789812388278,981-238-827-3


Describe:

This revision volume introduces a new smart web theory called Computational Web Intelligence (CWI) based on Computational Intelligence (CI) and Web Technology (WT). It provides an in-depth look at Hybrid Web Intelligence (HWI), which relies on Artificial and Computational Intelligence using web technology and is used to build smart web systems that serve wired and wireless users more efficiently. The basic principles of CWI and various electronic applications of CWI and HWI are discussed. For completeness, six major CWI technologies are described - Arcane Web Intelligence, Neural Web Intelligence, Evolutionary Web Intelligence, Granular Web Intelligence, Approximate Web Intelligence and Probable Web Intelligence -. With the enormous potential of CWI and HWI smart e-business applications, these technologies represent the future of smart web applications.

Introduction

With the explosive growth of data on wired and wireless networks, a There is a great need for a new generation of web technologies with The ability to smartly help users find useful web information Make smart web decisions. Obviously, the future direction of the web Technology from the lowest-level web that is geared to the low level Web-oriented information, then to the knowledge-oriented level The Web, and finally to the High Level Intelligent Web. So it is
Urgent development of new smart web technologies for web applications On wired and wireless networks.

Web Intelligence (WI), a new trend for scientific research It was developed at the 24th IEEE Computing Society The International Conference on Computer Software and Applications in 2000. WI exploits artificial intelligence (AI) and advanced information Technology (IT) on the Internet and the Internet. In general, the AI-based web Technologies can improve Web Qo (IQ quality). To enhance the use of fuzzy logic in the Internet, Zadeh highlights the following:
"Mysterious logic may replace classic logic as it may be called Internet cerebrum "at the 2001 BISC International Workshop on Fuzzy Logic and the Internet (FLINT2001). Soft computing
Technologies can play an important role in building the smart web the brain. So soft computing web technologies can enhance Web QoI (Quality of intelligence). In order to use CI (computational intelligence) Technologies to create high-quality smart wired and wireless systems, Computational Web Intelligence (CWI) was suggested in the private session
Session on CWI at FUZZ-IEEE’02 of 2002 World Congress on Computational intelligence. CWI is a mixed technology from CI and the Web Technology (WT) is dedicated to increasing the quality of service for the e-business application Systems on wired and wireless networks. Major CWI technologies (1) Fuzzy Web Intelligence (FWI), (2) Neural Web Intelligence
(NWI), (3) Evolutionary Web Intelligence (EWI), (4) Granular Network Intelligence (GWI), (5) Rough web intelligence (RWJ), (6) Prospective web intelligence (PWI).

Since A1 and CI technologies have different strengths, so The general question is how to combine different strengths to make Powerful smart web system. Hybrid Web Intelligence (HWI), a A wide field of hybrid research, using AI, CI, BI (biological intelligence) and
WT to build mixed smart web systems for wired and wireless service Users efficiently and effectively.

Introduction

A1 technologies were used in single-computer intelligence Systems for nearly 50 years, and on networked computers Intelligent systems in recent years. The difficult problem is how
The use of A1 technologies in web-based applications on the Internet. With The explosive growth of wired and wireless networks, suffering web users Of massive amounts of raw web data because the current web tools are still Satisfactory information and knowledge cannot be found effectively Decisions correctly. So how do you find new ways to design a smart web
Systems are very important for e-business applications and web users.

Artificial intelligence (AI) initially focuses on research into individual computer smart systems, then distributed artificial intelligence (DAI) exploits development on intelligent multi-computer systems.

To use A1 technologies to develop smart web systems, WI (web Intelligence), a new research direction was introduced [Yao, Chung, Liu And Ohsuga (2000) for. WI exploits the A1 and advanced information Technology (IT) on the Internet and the Internet [Yao, Zhong, Liu and Ohsuga (2000)] ".

Now the internet connection and wireless networks are huge Number of computing devices including computers and PDAs (personal Digital assistants), mobile phones, home appliances, etc.

Communication network applications [Pedrycz and Vasilakos (2001a) L. It is clear that such a huge computer system connected to the network on the world It provides a complex, dynamic and global environment for development Distribution of new smart theory and technology based on artificial intelligence and business intelligence (Biological intelligence) and CI.

Computational Intelligence and Computational Web Intelligence

Zadeh says that traditional (solid) computing is computing The model underlying artificial intelligence, while soft computing is CI basis. Based on discussions about CI and A1 [Bezdek (1994); Bezdek (1998); Vogel (1995); Marx (1993); Pedrex (1999); Zorada, Marx and Robinson (1994)], the basic conclusion is that CI is different From AI, but CI and A1 have common overlap. In general, difficult Computing and soft computing can be used on the smart hard
web Smart soft web apps and apps.

Zadeh mentioned that to enhance the use of fuzzy logic in the Internet "Mysterious logic may replace classic logic as it may be called Internet cerebrum "at the 2001 BISC International Workshop on Fuzzy Logic and Internet (FLINT2001) [Nikravesh and Azvine
(2001) L. Smart agents are used in smart e-commerce [Yager (2001) 's applications. 
Conceptual blur groups are applied to Web search engines to improve web service quality [Takagi and Tajima (200 liters)]. The SMART software is clearly built on a soft foundation Computing
 plays an important role in smart e-business applications.

To enhance the quality (intelligence) of e-business,? Computational Web Intelligence (CWI) suggests using CI and the web Technology (WT) to make smart e-business applications on
Internet and Wireless Networks [Zhang and Lin (2002) l. So concise The relationship is given by
CWI = CI + WT.

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