Thinking on the Web – Berners–Lee, Godel and Turing

Preface.
<p>The Purpose of this Book.</p>
<p>Who Should Read this Book.</p>
<p>The Organization of this Book.</p>
<p>PART I: WHAT IS WEB INTELLIGENCE.</p>
<p>Chapter 1: The Information Age and the Web.</p>
<p>Overview.</p>
<p>Thinking and Intelligent Web Applications.</p>
<p>The Information Age.</p>
<p>The World Wide Web.</p>
<p>The Limitations of Today s Web.</p>
<p>The Next Generation Web.</p>
<p>Why Intelligent Ubiquitous Devices Improve Productivity.</p>
<p>Conclusion.</p>
<p>Exercises.</p>
<p>Interlude #1 Thinking about Thinking.</p>
<p>Chapter 2: G&ouml;del – What is Decidable?</p>
<p>Overview.</p>
<p>Philosophical and Mathematical Logic.</p>
<p>Kurt G&ouml;del.</p>
<p>Knowledge Representation.</p>
<p>Computational Logic .</p>
<p>Artificial Intelligence.</p>
<p>Web Architecture and Business Logic.</p>
<p>The Semantic Web.</p>
<p>Conclusion.</p>
<p>Exercises.</p>
<p>Interlude #2 Truth and Beauty.</p>
<p>Chapter 3: Turing – What is Machine Intelligence?</p>
<p>Overview.</p>
<p>What is Machine Intelligence?</p>
<p>Alan Turing.</p>
<p>What is Machine Intelligence?</p>
<p>Turing Test and the Loebner Prize .</p>
<p>John Searle s Chinese Room.</p>
<p>Artificial Intelligence.</p>
<p>Machine Intelligence .</p>
<p>Semantic Networks and Frames.</p>
<p>Reasoning with Semantic Networks.</p>
<p>Computational Complexity.</p>
<p>Description Logic (DL).</p>
<p>Ontology.</p>
<p>Inference Engines.</p>
<p>Software Agents.</p>
<p>Adaptive Software.</p>
<p>Limitations and Capabilities.</p>
<p>Conclusion.</p>
<p>Exercises.</p>
<p>Interlude #3: Computing Machines.</p>
<p>Chapter 4: Berners–Lee ? What is Solvable on the Web?</p>
<p>Overview.</p>
<p>The World Wide Web.</p>
<p>Berners–Lee.</p>
<p>Competing Web Standards.</p>
<p>The Semantic Web Roadmap.</p>
<p>Semantic Web Services.</p>
<p>Logic on the Semantic Web.</p>
<p>Semantic Web Capabilities and Limitations.</p>
<p>Conclusion.</p>
<p>Exercises.</p>
<p>Interlude #4 Turing s Test.</p>
<p>PART II: WEB ONTOLOGY AND LOGIC.</p>
<p>Chapter 5: Resource Framework Description –– RDF.</p>
<p>Overview .</p>
<p>HTML Language.</p>
<p>XML Language.</p>
<p>RDF Language.</p>
<p>Basic Elements.</p>
<p>RDF Schema.</p>
<p>XQuery – XML Query Language.</p>
<p>Conclusion .</p>
<p>Exercises.</p>
<p>Interlude #5 The Chinese Room.</p>
<p>Chapter 6: Web Ontology Language –– OWL.</p>
<p>Overview.</p>
<p>Ontology Language.</p>
<p>Ontology Language Requirements.</p>
<p>Compatibility of OWL and RDF/RDFS.</p>
<p>The OWL Language.</p>
<p>Basic Elements.</p>
<p>OWL Example –– Compute Ontology.</p>
<p>Ontology Example –– Birthplace.</p>
<p>Applying OWL.</p>
<p>OWL Capabilities and Limitations.</p>
<p>Conclusion.</p>
<p>Exercises.</p>
<p>Interlude #6: Machines and Brains.</p>
<p>Chapter 7: Ontology Engineering.</p>
<p>Overview.</p>
<p>Ontology Engineering.</p>
<p>Constructing Ontologies.</p>
<p>Ontology Example.</p>
<p>Ontology Methods.</p>
<p>Ontology Libraries.</p>
<p>Ontology Matching.</p>
<p>Ontology Mapping .</p>
<p>Ontology Mapping Tools .</p>
<p>Conclusion.</p>
<p>Exercises.</p>
<p>Interlude #7: Machines and Meaning.</p>
<p>Chapter 8: Logic, Inference and Rule Systems.</p>
<p>Overview.</p>
<p>Logic and Inference.</p>
<p>Monotonic and Nonmonotonic Rules.</p>
<p>Descriptive Logic.</p>
<p>Inference Engines.</p>
<p>Example RDF Inference Engine.</p>
<p>Conclusion.</p>
<p>Exercises.</p>
<p>Interlude #8: Machines and Rules.</p>
<p>Chapter 9: Semantic Web Rule Language –– SWRL.</p>
<p>Overview.</p>
<p>Rule Systems.</p>
<p>Rule Languages.</p>
<p>Semantic Web Rule Language (SWRL).</p>
<p>Conclusion.</p>
<p>Exercises.</p>
<p>Interlude #9: Machines and Language.</p>
<p>Chapter 10: Semantic Web Applications.</p>
<p>Overview.</p>
<p>Semantic Web Applications .</p>
<p>Web Services.</p>
<p>Semantic Search.</p>
<p>e–Learning .</p>
<p>Semantic Web and Bio–Informatics .</p>
<p>Enterprise Application Integration.</p>
<p>On–To–Knowledge (OTK) .</p>
<p>Knowledge Base.</p>
<p>Conclusion.</p>
<p>Exercise.</p>
<p>Interlude #10: Distributed Intelligence.</p>
<p>Chapter 11: Web Ontology Language for Services –– OWL–S.</p>
<p>Overview.</p>
<p>XML–Based Web Services.</p>
<p>Next Generation Web Services .</p>
<p>OWL–S Primer.</p>
<p>Creating an OWL–S Ontology for a Web Services.</p>
<p>Conclusion.</p>
<p>Exercises.</p>
<p>Interlude #11: The Semantic Web.</p>
<p>Chapter 12: Semantic Search Technology.</p>
<p>Overview.</p>
<p>Search Engines .</p>
<p>Semantic Search.</p>
<p>Semantic Search Technology.</p>
<p>Web Search Agents.</p>
<p>Semantic Methods.</p>
<p>Latent Semantic Index Search.</p>
<p>TAP.</p>
<p>Swoogle.</p>
<p>Conclusion.</p>
<p>Exercises.</p>
<p>Interlude #12: The Halting Problem.</p>
<p>Chapter 13: Semantic Patterns and Adoptive Software.</p>
<p>Overview .</p>
<p>Patterns in Software Design.</p>
<p>Pattern Frame.</p>
<p>Semantic Patterns.</p>
<p>Self–Organizing and Adaptive Software.</p>
<p>Conclusion.</p>
<p>Exercises.</p>
<p>Interlude #13: The Semantic Web and Meaning.</p>
<p>Chapter 14: Semantic Tools.</p>
<p>Overview .</p>
<p>Semantic Tools.</p>
<p>Semantic Web Services Tools.</p>
<p>Conclusion.</p>
<p>Interlude #14: The Semantic Web and Language.</p>
<p>Chapter 15: Opportunities and Challenges.</p>
<p>Overview.</p>
<p>Semantic Doubt.</p>
<p>Semantic Opportunities.</p>
<p>Challenges.</p>
<p>Balancing Proprietary and Open Standards.</p>
<p>Conclusion.</p>
<p>Interlude #15: The Semantic Web and Zeno s Paradox.</p>
<p>Bibliography.</p>
<p>Glossary.</p>
<p>List of Acronyms.</p>
<p>Index.</p>