Thinking on the Web: Berners-Lee, Godel and Turing

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Providing a perspective of the competing forces that are developing the future of complex logic on the Web, the key players, and the advantages and disadvantages of each, Thinking on the Web creates a vision of how solvable problems can be logically addressed on the Web to produce a semblance of machine intelligence. The book addresses these sophisticated AI concepts while presenting the material at a level appropriate for the general tech-savvy audience.
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Overview

Providing a perspective of the competing forces that are developing the future of complex logic on the Web, the key players, and the advantages and disadvantages of each, Thinking on the Web creates a vision of how solvable problems can be logically addressed on the Web to produce a semblance of machine intelligence. The book addresses these sophisticated AI concepts while presenting the material at a level appropriate for the general tech-savvy audience.
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Product Details

  • ISBN-13: 9780471768142
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 9/22/2006
  • Edition number: 1
  • Pages: 261
  • Product dimensions: 6.20 (w) x 9.30 (h) x 0.80 (d)

Table of Contents

Preface.
The Purpose of this Book.
Who Should Read this Book.
The Organization of this Book.
PART I: WHAT IS WEB INTELLIGENCE.
Chapter 1. The Information Age and the Web.
Chapter 2. Gödel--What is Decidable?
Chapter 3. Turing--What is Machine Intelligence?
Chapter 4. Berners-Lee--What is Solvable on the Web?
PART II: WEB ONTOLOGY AND LOGIC.
Chapter 5. Resource Framework Description--RDF.
Chapter 6. Web Ontology Language--OWL.
Chapter 7. Ontology Engineering.
Chapter 8. Logic, Inference and Rule Systems.
Chapter 9. Semantic Web Rule Language--SWRL.
Chapter 10. Semantic Web Applications.
Chapter 11. Web Ontology Language for Services--OWL-S.
Chapter 12. Semantic Search Technology.
Chapter 13. Semantic Patterns and Adoptive Software.
Chapter 14. Semantic Tools.
Chapter 15. Opportunities and Challenges.
Bibliography.
Glossary.
List of Acronyms.
Index.
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Sort by: Showing all of 2 Customer Reviews
  • Anonymous

    Posted November 7, 2006

    Thinking about Web Science

    This is a fun to read and instructional computer science textbook. Although the target audience for this book is most likely those interested and well versed in computer science, I believe casual readers interested in the leading edge of Web Science can benefit from reading this book. I believe that my time spent reading Thinking on the Web, was well worth the effort. I learned a great deal and was entertained. This book necessarily presents the very technical terminology of Web ontology with code examples. The authors' style lets one move through these important but usually dull sections as it emphasizes concepts behind the Web and how humans and computers can improve the management of information. Philosophical arguments (e.g. How We Think, What is Intelligence. What is Logic) are interlaced between the technical presentations. At the end of each chapter, two real-life like fictional college students continue an informal running dialog to debate and discuss the efficacy of the presented concepts. These characters often offer different opinions. The book presents the history of the Web starting with the early contributions of Berners-Lee, Gödel, and Turing. The present status of the Web and its limitations are described. I learned the concepts behind Google and other Web search engines. The authors present the technical reasons why surfing the Web and locating relevant information can be frustrating. The authors offer advanced Semantic Web software techniques with their challenges and potential limitations. What is Thinking, and how we think and organize our thoughts and data, are examined throughout this book. Understanding how we think can be a prelude to the application of artificial intelligence (AI). The authors discuss how one starts to recognizes a truly smart machine. The authors present advanced concepts, tools, and challenges to apply AI to enhance the Web experience. The book contains many references to additional Semantic Web resources, developers, and tools for further reading. Many of these are located on the Web. Some of the references are adjuncts to the text.

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  • Anonymous

    Posted October 30, 2006

    Machine Intelligence presented intelligently

    I liked this book. It actually had three distinctive features: First, the general presentation of the pioneers Berners-Lee, Godel and Turing with the key questions they posed was well done. Second, the chapters on ontology engineering, RDF, and OWL were instructive and had good examples. I found the chapters on semantic search and sematic services particularly interesting. Third, the interludes consisted of several pages of debate in-between chapters. I particularly enjoyed the interludes - these short debates between two fictitious characters crystallized many issues dealing with AI, thinking and intelligence as they emerged from the chapter material. They were presented with humor and high spirits, but the arguments seemed well-founded and balanced. They included amusing backdrops, such as, the characters playing a chess match while discussing the tournament between Gary Kasparov and IBM's Deep Blue computer

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