Artificial Intelligence Technology Web Technology Knowledge Information Processing Technology Ontology Technology Search Technology Database Technology User Interface Technology
From “Semantic Web For Dummies“.

The book starts with the concept of Semantic Web technologies (Part 1), the handling of metadata in the enterprise (Part 2), a brief overview of Semantic web technologies such as RDF, Ontology, SPARQL, etc. (Part 3), a checklist of items to consider when applying them in practice, and an introduction to vendors (Part 4). The final part (Part 5) provides the steps to actually build a Semantic Web system, and answers the question “How is it different from existing systems? The final part (Part 5) is about the steps to actually build a Semantic Web system and answers the question, “How is it different from existing systems? The table of contents is as follows.
Part1 Welcome to the Future of Data and Web
Chapter 1 Getting Gist of the Semantic Web
Exploring Different ways of Looking at the Semantic Web
Finding the Connection to Web 3.0
Exploring the Business Side of Semantics
Setting Information Free
Rebirthing Artificial Intelligence
Checking Out the Semantic Web's Origin
Unpacking Semantic Web Baggage
Instilling Simplicity in Complex Data
Seeing the Semantic Web's Starring Role in Web 3.0 Showcase Application
Recognizing Compelling Reasons for the Semantic Web
Chapter 2 Semantic Web in Your Life
Taking a Look at How the Web Is Used Daily
Exploring the Web 2.0 Movement and What It Means
Defining the Feature of Web 3.0 - the Semantic Web
Checking Out Some Ahead-of-the-Curve Semantic Web Sites
Peering into the Crystal Ball of the Semantic Web
Chapter 3 The Data Web at Work for Business
Getting a Handle on Enterprise Data Challenges and Opportunities
Understanding the Difference between Information and Data
Evaluating the web in Your Current Syatems
Grasping the Vision of the Semantic Web at Work
Flourishing in a Semantic Web Utopia
Discovering Why Semantics Are for Everyday Businesspeople
Making the Semantic Web Choise Now
Part2 Catch the Wave of Smart Data Today
Chapter 4 A Quick Semantic Web Primer
Getting Started with RDF Data
Exploring the Semantic of RDF
Discovering Languages That Use RDF
A Little Semantics Goes a Long Way
Chapter 5 Why the Semantic Web Is New Technology, Not Hype
Tracing the Roots of the Semantic Web
Realizing That the Internet Is Made Up of Pages, Not Data
Realizing That Web 2.0 Is for People, and Semantic Web Is for Software
Database Mean Business; So Does Semantic Web
Grasping Why SOA/Integration Is for Messages, Not Data Structure
Realizing That XML Is Documents, Not Data
Seeing Why Object Orientation Is a Heuristic
Seeing a New Beginning for Artificial Intelligence
Grasping How Semantic web Is New and Different
Chapter 6 The Problem with Metadata
Gasping the Basics of Data and Information
Devising a Framework for Classifying Metadata
Logic and Rules in your Metadata
Discovering the Many Types of Metadata
Semantics and Metadata
Seeing the Semantic Web as a Superset for Metadata
Part 3 Building the Semantic Web
Chapter 7 Using the Resource Description Framework(RDF)
Breaking It Down to the R, to the D, to the F
viewing RDF Data as a Graph
Understanding That RDF Is XML
Using Typed Literals
Identifying the Type of Resource
Describing Stuff with RDF Schema
Discovering Other Triple Formats: N3,Turtle, and N-Triples
Specializing in Microformats, RDFa, eRDF, and GRDDL
Getting to Know the Strengths of RDF
Seeing Why RDF Is Only the Tips of Iceberg
Chapter 8 Speaking the Web Ontology Language
Introducing OWL
Discovering the Various Species of OWL
Exploring the Foundations of OWL
Understanding OWL Essentials
Making Simple Assertions
Inconsistency
Examining Property Characteristics
Complex Classes
Distinguishing Necessary from Necessary and Sufficient
Understanding Why OWL Is Different
Developing OWL Ontologies
Chapter 9 Exploring Semantic Web Enablers
Revisiting the Semantic Web Stack
Digging a Bit Deeper into SPARQL
Developing Easy RDF Models
Finding Out Why Business Rules Are a Good Thing
Grasping with Natural Language Processing(NLP)
Enabling New Operational Models
Setting the Truthiness Dial
Part4 Putting the Semantic Web Work
Chapter 10 The Rise of the Information Worker
Taking a Look at Global 2000
Understanding the Tactical Role of Information in Business Economics
Getting to Know the Types of Information Workers
Understanding the Needs of the Information-Centric Company
Aiding Information Workers with the Semantic Web
Forecasting the Information Worker of tomorrow
Chapter 11 Discovering the Enterprise Semantic Web
Discovering the Roles within the Software Industry
Creating Semantics for Enterprise Systems
Discovering a Single Source of Truth for the Enterprise
Exploring Some Enterprise Semantic Web Use Cases
Chapter 12 Scalable Architecture
Recognizing That This Is Not Your Father's Database
Noting Semantics Web Tool Patterns
Scaling Semantic Web Tools
Understanding Patterns of Architectural Usage
Buyer Beware!
Chapter 13 Assessment Strategies
Understanding the Business Problem
Avoiding Common Traps in Planning Your Semantic Web Application
Identifying Semantic Web Opportunities
Reviewing Your Assessment Checklist
Scoring the Checklist and Understanding Benefits
Making the Decision
Chapter 14 Exploring the Limitations of the Semantic Web
Staying Within the Standard
Straying Outside the Standard
Realizing the Implication of a Complete Semantic Web Solution
Making Good Choices
Sticking to Best Practices
Chapter 15 A Guide to Essential Vendor Implementations
Consumer Web Sites
Business Software
Part5 The Part of Tens
Chapter 16 Ten Myths About the Semantic Web
The Semantic Web Is Science Fiction
The Semantic Web Is for Tagging Web Site
The Semantic Web Will Put Google Out of Business
The Semantic Web Is Too Complex to Succeed
The Semantic Web Is a Catalog Syatem
The Semantic Web Is an Ivory Tower Design
The Semantic Web Is Description Logic
The Semantic Web Is Artificial Intelligence
The Semantic Web Is a $20-Billion Industry
The Semantic Web Hasn't Changed The World
Chapter 17 Ten Things to Look Forward to Beyond Web 2.0
More Cool Features on the Web Sites and Browsers You Already Use
Dramatically More Scalable Digital Knowledge and Machine Intelligence
Widespread Embedding in Enterprise Software
New Semantic Web Technical Standard
Greater Expressivity for Core Languages
Simple-to-use Tools Launching Your Own Personal Ontology
Developers Scrambling to Take Semantic Web Training
Semantic Advertising and Marketing Schemes
Technology Managers Planning for New Supporting Workflows
Explaining Web 3.0 to Your Grandmother
chapter 18 Ten Next Steps to Take from Here
Try Twine
Explore Yahoo! SearchMonkey
Check Out Calais
Read Up on RDF and OWL Modeling on Attend Training
Read The RDF and OWL Specifications
Contact Your Trusted Vendors
Write Down and Assess New Ideas
Ask Zepheira
Prototype Using Open-source and Free Software
Sell Your Boss on the Idea!

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