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Programming the Semantic Web

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Programming the Semantic Web

Toby Segaran, Colin Evans, Jamie Taylor 지음 | 원서 | 2009년 07월 | OReilly Media

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http://www.hanbit.co.kr/trackback/9780596153816

페이지 : 298쪽 | ISBN : 9780596153816 | 난이도 : 중/고급 | 변환코드 : 8381

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With this book, the promise of the Semantic Web -- in which machines can find, share, and combine data on the Web -- is not just a technical possibility, but a practical reality Programming the Semantic Web demonstrates several ways to implement semantic web applications, using current and emerging standards and technologies. You'll learn how to incorporate existing data sources into semantically aware applications and publish rich semantic data.

Each chapter walks you through a single piece of semantic technology and explains how you can use it to solve real problems. Whether you're writing a simple mashup or maintaining a high-performance enterprise solution,Programming the Semantic Web provides a standard, flexible approach for integrating and future-proofing systems and data.

This book will help you:
  • Learn how the Semantic Web allows new and unexpected uses of data to emerge
  • Understand how semantic technologies promote data portability with a simple, abstract model for knowledge representation
  • Become familiar with semantic standards, such as the Resource Description Framework (RDF) and the Web Ontology Language (OWL)
  • Make use of semantic programming techniques to both enrich and simplify current web applications
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저자소개

Toby Segaran, Colin Evans, Jamie Taylor
Toby Segaran is the author of Programming Collective Intelligence, a very popular O'Reilly title. He was the founder of Incellico, a biotech software company later acquired by Genstruct. He currently holds the title of Data Magnate at Metaweb Technologies and is a frequent speaker at technology conferences.


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Copyright
Foreword
Preface
Part 1: Semantic Data
Download "Chapter 1. Why Semantics?"
Section 1.1. Data Integration Across the Web
Section 1.2. Traditional Data-Modeling Methods
Section 1.3. Semantic Relationships
Section 1.4. Metadata Is Data
Section 1.5. Building for the Unexpected
Section 1.6. "Perpetual Beta"
Download "Chapter 2. Expressing Meaning"Chapter 2. Expressing Meaning
Section 2.1. An Example: Movie Data
Section 2.2. Building a Simple Triplestore
Section 2.3. Merging Graphs
Section 2.4. Adding and Querying Movie Data
Section 2.5. Other Examples
Download "Chapter 3. Using Semantic Data"Chapter 3. Using Semantic Data
Section 3.1. A Simple Query Language
Section 3.2. Feed-Forward Inference
Section 3.3. Searching for Connections
Section 3.4. Shared Keys and Overlapping Graphs
Section 3.5. Basic Graph Visualization
Section 3.6. Semantic Data Is Flexible
Part 2: Standards and Sources
Download "Chapter 4. Just Enough RDF"Chapter 4. Just Enough RDF
Section 4.1. What Is RDF?
Section 4.2. The RDF Data Model
Section 4.3. RDF Serialization Formats
Section 4.4. Introducing RDFLib
Section 4.5. SPARQL
Download "Chapter 5. Sources of Semantic Data"Chapter 5. Sources of Semantic Data
Section 5.1. Friend of a Friend (FOAF)
Section 5.2. Linked Data
Section 5.3. Freebase
Download "Chapter 6. What Do You Mean, “Ontology”?"Chapter 6. What Do You Mean, "Ontology"?
Section 6.1. What Is It Good For?
Section 6.2. An Introduction to Data Modeling
Section 6.3. Just Enough OWL
Section 6.4. Using Prote'ge'
Section 6.5. Just a Bit More OWL
Section 6.6. Some Other Ontologies
Section 6.7. This Is Not My Beautiful Relational Schema!
Download "Chapter 7. Publishing Semantic Data"Chapter 7. Publishing Semantic Data
Section 7.1. Embedding Semantics
Section 7.2. Dealing with Legacy Data
Section 7.3. RDFLib to Linked Data
Part 3: Putting It into Practice
Download "Chapter 8. Overview of Toolkits"Chapter 8. Overview of Toolkits
Section 8.1. Sesame
Section 8.2. Other RDF Stores
Section 8.3. SIMILE/Exhibit
Download "Chapter 9. Introspecting Objects from Data"Chapter 9. Introspecting Objects from Data
Section 9.1. RDFObject Examples
Section 9.2. RDFObject Framework
Section 9.3. How RDFObject Works
Download "Chapter 10. Tying It All Together"Chapter 10. Tying It All Together
Section 10.1. A Job Listing Application
Section 10.2. Job Listing Data
Section 10.3. Serving the Website
Section 10.4. A Generic Viewer
Section 10.5. Getting Company Data
Section 10.6. Specialized Views
Section 10.7. Publishing for Others
Section 10.8. Expanding the Data
Section 10.9. Sophisticated Queries
Section 10.10. Visualizing the Job Data
Section 10.11. Further Expansion
Part 4: Epilogue
Download "Chapter 11. The Giant Global Graph"Chapter 11. The Giant Global Graph
Section 11.1. Vision, Hype, and Reality
Section 11.2. Participating in the Global Graph Community
Section 11.3. Bracing for Continuous Change
Colophon
Index
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