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Chapter 3
Web Intelligence
This chapter will present an overview of the Web Intelligence field together with
descriptions of its subtopics of particular relevance for this thesis. We first present
the Web Intelligence research field and an overview of its subtopics. Secondly we
present aspects of the Software Agents (Web Agents) subtopic, in particular in
a mobile commerce and massively multiplayer online games context. Finally we
present aspects of Classification with emphasis on the proximal support vector
classifiers.
3.1
Introduction
Web Intelligence (WI) was conceptualized as a scientific research field in year
2000 by Zhong et al. [2000]. It covers research on the exploration and impact of
Artificial Intelligence (AI) and advanced Information Technology (IT) applied in
Web-related systems, products, services and activities (Zhong et al. [2003]), e.g.
e-commerce sites and online games. The WI-AI/IT relation is bijective: AI and
IT can be applied for WI, and WI introduces new problems and challenges to AI
and IT.
An underlying motivation for establishing the WI field is to develop the Wisdom
Web. The purpose of Wisdom Web is to enable web-related solutions that are
wise, i.e. have the capability of using information and knowledge to the best
means learned from experience.
Web Intelligence is a research area with nine main topics, see figure 3.1 an
overview. Four of these topics - marked with color in the figure - are within
the scope of this thesis. Yellow means the topic is highly related and light blue
means that the topic is somewhat related to the topics of this thesis

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