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!
コメント