Fundamentals of the Semantic Web
by David Booth

Table of contents

• Fundamentals of the Semantic Web
• Speaker Info
• Acknowledgements
• Objectives
• Outline
• SECTION 1: Understanding the Semantic Web
• W3C Semantic Web Activity
• What is the Semantic Web?
• Goal of the Semantic Web
• Goal: A More Useful Web
• How could the Web be more useful?
• The Problem of Finding Information
• The Problem of Finding Information
• The Problem of Sharing Information
• The Problem of Combining Information
• Goal of the Semantic Web (Review)
• Point Solutions Versus General Solutions
• The Essence of the Problem
• How Meaning is Conveyed
• Analogy: What We Say to Dogs
• What Computers Understand
• Goal of the Semantic Web
• Ways to Enable Machine Processing
• Approach 1: Smarter machines
• Smarter Machines
• Approach 2: Smarter Data
• Smarter Data (More Machine Processable)
• How Google Works
• Example Use of Machine Processable Information
• Goal of the Semantic Web (Review)
• Why is machine processing difficult?
• Problem 1: Ambiguity
• Kinds of Things to Identify
• Unambiguously Identifying Web Resources
• Unambiguously Identifying Physical Objects
• Unambiguously Identifying Abstract Concepts
• Ontology
• Dublin Core
• One Global Ontology?
• Other Ontology Work
• Goal of the Semantic Web (Review)
• Goal of the Semantic Web (Review)
• Problem 2: Language Complexity
• What Is RDF?
• RDF Triples
• Example Triple
• URIs and Database Keys
• Representing Relational Data as Triples
• Joining Triples to Create a Graph
• Joining Data from Multiple Sources
• Goal of the Semantic Web (Review)
• SECTION 2: Conclusions, Example Applications and Demo 
• What is the Semantic Web?
• Making Use of the Semantic Web
• Example RDF / Semantic Web Applications
• Demo of TAP Semantic Search
• Objectives
• ==== END =====
• Appendix 1: Trees Versus RDF
• Evolving Data: Tree Versus RDF
• Version 1.1 adds 2 new features:
• Version 1.2 adds 3 more features:
• Version 2.0 adds color:
• Version n combines printer, scanner, fax:
• The Importance of Flexibility
• Comparing Data Representations
• Appendix 2: Representing Relational Data as RDF Triples
• Representing Relational Data as RDF Triples
• Appendix 3: Other Slides
• What information could be machine processable?
• Where to put machine-processable information?
• Does an Ontology Really Define Meaning?
• Ontologies and Web Services
• The Current Web
• The Semantic Web - An Enhancement of the Current Web
• Important Characteristics for a Machine-Processable Format
• Why a Relational Data Model?
• Simplified Relational Model
• Representing Tables as Triples
• Table as Collection of Triples
• Goal of the Semantic Web (Review)
• Application Integration: XML Versus RDF