Programming the Semantic Web (häftad)
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Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
280
Utgivningsdatum
2009-07-28
Upplaga
1
Förlag
O'REILLY & ASSOCIATES
Medarbetare
Evans, Colin (contributions)/Taylor, Jamie (contributions)/Evans, Colin (contributions)/Taylor, Jamie (contributions)
Illustrationer
illustrations
Dimensioner
231 x 175 x 18 mm
Vikt
477 g
Antal komponenter
1
ISBN
9780596153816

Programming the Semantic Web

Häftad,  Engelska, 2009-07-28
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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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Övrig information

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. Colin Evans combines machine learning and semantic analysis into a deadly one-two punch against information entropy and noisy data. The results of his efforts appear as millions of facts in Freebase. Prior to joining Metaweb, Colin helped users organize their world through his work on the IRIS semantic desktop project at SRI. Jamie Taylor started one of the first ISPs in San Francisco while developing an Internet laboratory for studying economic equilibria. His goal was to get a better connection at home. He finally got a real job as CTO at DETERMINE Software (now a part of Selectica) helping create order in the unstructured world of Enterprise contract management. He is now helping to organize the world's structured information at Metaweb where he oversees data operations.

Innehållsförteckning

ForewordPrefaceSemantic Data

  • Chapter 1: Why Semantics?
  • Chapter 2: Expressing Meaning
  • Chapter 3: Using Semantic Data
Standards and Sources
  • Chapter 4: Just Enough RDF
  • Chapter 5: Sources of Semantic Data
  • Chapter 6: What Do You Mean, Ontology?
  • Chapter 7: Publishing Semantic Data
Putting It into Practice
  • Chapter 8: Overview of Toolkits
  • Chapter 9: Introspecting Objects from Data
  • Chapter 10: Tying It All Together
Epilogue
  • Chapter 11: The Giant Global Graph
Colophon