Principles of the Semantic Web: Enabling Global Data Reuse
by David Booth

Table of contents

• Principles of the Semantic Web:  Enabling Global Data Reuse
• Speaker Info
• Acknowledgements
• Outline
• SECTION 1: What Is the Semantic Web
• W3C Semantic Web Activity
• What is the Semantic Web?
• Motivation for the Semantic Web
• Goal: A More Useful Web
• The Problem of Finding Information
• The Problem of Sharing Information
• The Problem of Combining Information
• Point Solutions Versus General Solution
• The Lack of Machine-Processable Semantics
• Analogy: What We Say to Dogs
• What Computers Understand
• How Google Works
• Exploiting Machine Processable Semantics
• Ways to Enable Machine Processing
• Approach 1: Smarter machines
• Smarter Machines
• Approach 2: Smarter Data
• Smarter Data (More Machine Processable)
• The Semantic Web Defined
• SECTION 2: Globally Machine-Processable Information
• Identifying the Key Problems
• Problem 1: Ambiguity
• Kinds of Things to Identify
• Unambiguously Identifying Physical Objects
• URLs as Globally Unambiguous Identifiers
• Unambiguously Identifying Abstract Concepts
• Ontologies
• Example Ontologies
• Examples of URLs as Identifiers
• Standardizing Ontologies
• W3C Web Ontology Working Group
• Problem 2: Lack of Common Language
• What Is RDF?
• RDF Triples
• Example Triple
• Review of Key Problems
• SECTION 3:  Other Uses for RDF
• "Babelization"
• Re-using Data Across Agencies
• Common Problems
• Underlying Needs
• RDF for Data Integration
• RDF Versus Custom XML
• RDF Uses
• Why RDF?
• SECTION 4: Toward Semantic Web Applications
• What is the Semantic Web?
• Making Use of the Semantic Web
• W3C Work
• HP/Labs Work in Bristol
• Example RDF / Semantic Web Applications
• Demo of TAP Semantic Search
• Outline
• Questions?
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