ウェブ応用のための知的技術<br>Intelligent Technologies for Web Applications

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ウェブ応用のための知的技術
Intelligent Technologies for Web Applications

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  • 製本 Hardcover:ハードカバー版/ページ数 368 p./サイズ 120 illus.
  • 言語 ENG
  • 商品コード 9781439871621
  • DDC分類 006.7

基本説明

Covers agentbased Web, wrapper induction, Web mining, information retrieval, Web knowledge managenent, and social networks.

Full Description

The Internet has become an integral part of human life, yet the web still utilizes mundane interfaces to the physical world, which makes Internet operations somewhat mechanical, tedious, and less human-oriented. Filling a large void in the literature, Intelligent Technologies for Web Applications is one of the first books to focus on providing vital fundamental and advanced guidance in the area of Web intelligence for beginners and researchers.

The book covers techniques from diverse areas of research, including:

Natural language processing

Information extraction, retrieval, and filtering

Knowledge representation and management

Machine learning

Databases

Data, web, and text mining

Human-computer interaction

Semantic web technologies



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. Intended to improve and reinforce problem-solving methods in this area, this book delves into the hybridization of artificial intelligence (AI) and web technologies to help simplify complex Web operations. It introduces readers to the state-of-the art development of web intelligence techniques and teaches how to apply these techniques to develop the next generation of intelligent Web applications.

The book lays out presented projects, case studies, and innovative ideas, which readers can explore independently as standalone research projects. This material facilitates experimentation with the book's content by including fundamental tools, research directions, practice questions, and additional reading.

Contents

Part I: Introduction to the Web, machine learning, new AI techniques, and web intelligence

Introduction to World Wide Web. Machine learning concepts. Overview of constituents for the new artificial intelligence. Web intelligence.

Part II: Information retrieval, mining, and extraction of content from the Web

Web information retrieval. Web mining. Structured data extraction.

Part III: Semantic web and web knowledge management

Semantic web. Web knowledge management. Social network intelligence.

Part IV: Agent-based web, security issues, and human-computer interaction

Agent-based web. Web security. Human-web interactions.

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