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Sajja P.S., Akerkar R. Intelligent Technologies for Web Applications

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Sajja P.S., Akerkar R. Intelligent Technologies for Web Applications
CRC Press, 2012. — 359 p.
The Web is becoming the largest data repository in the world and presents a key driving force for a large spectrum of information technology (IT). To develop effective and intelligent web applications and services, it is critical to discover useful knowledge through analyzing large amounts of content, hidden content structures, or usage patterns of web data resources. To achieve such a goal, a variety of techniques in diverse research areas need to be integrated, including natural language processing, information extraction, information retrieval, information filtering, knowledge representation, knowledge management, machine learning, databases, data mining, web mining, text mining, agent, human–computer interaction, and the semantic web. These integrated techniques should address the key challenges from the heterogeneous and dynamic nature of web contents and usage patterns.
Within the past ten years, the Web research community has brought to maturity a comprehensive set of foundational technology components, both at the conceptual level and in the form of prototypes and software.
This book describes the basics as well as the latest trends in the area of an integrated approach instead of an edited volume of papers/chapters. The book provides a detailed review of issues for web researchers. With extensive use of examples and more than 100 illustrations, as well as bibliographical notes, end-of-chapter exercises, and glossaries, to clarify complex material and demonstrate practical applications, this book can serve as a senior undergraduate-level book. It can also serve as a good reference for researchers and practitioners who deal with the various problems involving semantics, intelligent techniques for web ontologies, and the semantic web.
Understanding web-related concepts, studying the underlying standards and technical components, and putting all of this together into concrete terms require a substantial amount of effort. This book provides comprehensive and easy-to-follow coverage on both the “what-is” and “how-to” aspects of web-related technologies.
Part I: Introduction to the Web, machine learning, new AI techniques, and web intelligence
Chapter 1 Introduction to World Wide Web
Chapter 2 Machine learning concepts
Chapter 3 Overview of constituents for the new artificial intelligence
Chapter 4 Web intelligence
Part II: Information retrieval, mining, and extraction of content from the Web
Chapter 5 Web information retrieval
Chapter 6 Web mining
Chapter 7 Structured data extraction
Part III: Semantic web and web knowledge management
Chapter 8 Semantic web
Chapter 9 Web knowledge management
Chapter 10 Social network intelligence
Part IV: Agent-based web, security issues, and human–computer interaction
Chapter 11 Agent-based web
Chapter 12 Web security
Chapter 13 Human–web interactions
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