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

Overview

What Is Thinking?

What is Turing's Test? What is Gödel's Undecidability Theorem? How is Berners-Lee's Semantic Web logic going to overcome paradoxes and complexity to produce machine processing on the Web?

Thinking on the Web draws from the contributions of Tim Berners-Lee (What is solvable on the Web?), Kurt Gödel (What is decidable?), and Alan Turing (What is machine intelligence?) to evaluate how much ...

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Overview

What Is Thinking?

What is Turing's Test? What is Gödel's Undecidability Theorem? How is Berners-Lee's Semantic Web logic going to overcome paradoxes and complexity to produce machine processing on the Web?

Thinking on the Web draws from the contributions of Tim Berners-Lee (What is solvable on the Web?), Kurt Gödel (What is decidable?), and Alan Turing (What is machine intelligence?) to evaluate how much "intelligence" can be projected onto the Web.

The authors offer both abstract and practical perspectives to delineate the opportunities and challenges of a "smarter" Web through a threaded series of vignettes and a thorough review of Semantic Web development.

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Editorial Reviews

From the Publisher
?Anyone with experience of HCI will want to read this book which after all, has provided a new and entirely different way of providing a stimulus to a subject that is very much in need of direction.? (Kybernetes, 2009)

"A fine introduction to what the Web can do now and what may de done in the near future?for everyone interested in the Web." (CHOICE, July 2007)

"I recommend this book to readers who would like to think about the way the Web is influenced by logic in its evolution into a semantic framework of applications." (Computing Reviews.com, February 19, 2006)

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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)

Meet the Author

H. Peter Alesso is an Internet innovator with twenty years' research experience at Lawrence Livermore National Laboratory (LLNL). As engineering group leader at LLNL, he led a team of computer scientists and engineers in a wide range of Internet research projects.

Craig F. Smith is a Fellow of the American Association for the Advancement of Science (AAAS) with over thirty years' experience in research and development for applications of advanced technologies. He currently serves as the Lawrence Livermore Chair Professor at the Naval Postgraduate School in Monterey, California.

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Table of Contents

Foreword.

Preface.

Acknowledgments.

Who This Book Is For.

The Organization of This Book.

Associated Resources.

PART I: WHAT IS WEB INTELLIGENCE?

1 Empowering the Information Age.

Overview.

Thinking and Intelligent Web Applications.

The Information Age.

The World Wide Web.

Limitations of Today’s Web.

The Next Generation Web.

Why Intelligent Ubiquitous Devices Improve Productivity.

Conclusion.

Exercises.

Interlude #1: Thinking about Thinking.

2 G¨odel: What is Decidable?

Overview.

Philosophical and Mathematical Logic.

Kurt G¨odel.

Knowledge Representation.

Computational Logic.

Artificial Intelligence.

Web Architecture and Business Logic.

The Semantic Web.

Conclusion.

Exercises.

Interlude #2: Truth and Beauty.

3 Turing: What is Machine Intelligence?

Overview.

What is Machine Intelligence?

Alan Turing.

Turing Test and the Loebner Prize.

John Searle’s Chinese Room.

Artificial Intelligence.

Machine Intelligence.

Semantic Networks and Frames.

Reasoning with Semantic Networks.

Computational Complexity.

Description Logic.

Ontology.

Inference Engines.

Software Agents.

Adaptive Software.

Limitations and Capabilities.

Conclusion.

Exercises.

Interlude #3: Computing Machines.

4 Berners-Lee: What is Solvable on the Web?

Overview.

The World Wide Web.

Tim Berners-Lee.

The Semantic Web Roadmap.

Logic on the Semantic Web.

Conclusion.

Exercises.

Interlude #4: Turing’s Test.

PART II: WEB ONTOLOGY AND LOGIC.

5 Resource Description Framework.

Overview.

HTML Language.

XML Language.

RDF Language.

Basic Elements.

RDF Schema.

XQuery: XML Query Language.

Conclusion.

Exercises.

Interlude #5: The Chinese Room.

6 Web Ontology Language.

Overview.

Ontology Language.

Ontology Language Requirements.

Compatibility of OWL and RDF/RDFS.

The OWL Language.

Basic Elements.

OWL Example: Compute Ontology.

Ontology Example: Birthplace.

Applying OWL.

OWL Capabilities and Limitations.

Conclusion.

Exercises.

Interlude #6: Machines and Brains.

7 Ontology Engineering.

Overview.

Ontology Engineering.

Constructing Ontology.

Ontology Development Tools.

Ontology “Spot” Example.

Ontology Methods.

Ontology Sharing and Merging.

Ontology Libraries.

Ontology Matching.

Ontology Mapping.

Ontology Mapping Tools.

Conclusion.

Exercises.

Interlude #7: Machines and Meaning.

8 Logic, Rules, and Inference.

Overview.

Logic and Inference.

Monotonic and Nonmonotonic Rules.

Descriptive Logic.

Inference Engines.

RDF Inference Engine.

Conclusion.

Exercises.

Interlude #8: Machines and Rules.

9 Semantic Web Rule Language.

Overview.

Rule Systems.

Rule Languages.

Semantic Web Rule Language.

Conclusion.

Exercise.

Interlude #9: Machines and Language.

10 Semantic Web Applications.

Overview.

Semantic Web Applications.

Semantic Web Services.

Semantic Search.

e-Learning.

Semantic Bioinformatics.

Enterprise Application Integration.

Knowledge Base.

Conclusion.

Exercise.

Interlude #10: Distributed Intelligence.

11 Web Ontology Language for Services.

Overview.

XML-based Web Services.

Next Generation Web Services.

Creating an OWL-S Ontology for Web Services.

Conclusion.

Exercises.

Interlude #11: The Semantic Web.

12 Semantic Search Technology.

Overview.

Search Engines.

Semantic Search.

Semantic Search Technology.

Web Search Agents.

Semantic Methods.

Latent Semantic Index Search.

TAP.

Swoogle.

Conclusion.

Exercises.

Interlude #12: The Halting Problem.

13 Semantic Patterns and Adaptive Software.

Overview.

Patterns in Software Design.

Pattern Frame.

Semantic Patterns.

Self-Organizing and Adaptive Software.

Conclusion.

Exercise.

Interlude #13: The Semantic Web and Rules.

14 Semantic Tools.

Overview.

Semantic Tools.

Semantic Web Services Tools.

Conclusion.

Exercise.

Interlude #14: The Semantic Web and Language.

15 Challenges and Opportunities.

Overview.

Semantic Doubts.

Semantic Opportunities.

The Challenges.

Balancing Proprietary and Open Standards.

Conclusion.

Interlude #15: The Semantic Web and Zeno’s Paradox.

Bibliography.

Glossary.

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

    Was this review helpful? Yes  No   Report this review
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