Toby Segaran

Programming the Semantic Web (eBook, ePUB)

Build Flexible Applications with Graph Data

• Format: ePub

Produktbeschreibung

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 emergeUnderstand how semantic technologies promote data portability with a simple, abstract model for knowledge representationBecome 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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Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 302
• Erscheinungstermin: 9. Juli 2009
• Englisch
• ISBN-13: 9781449379179
• Artikelnr.: 52842603

Autorenporträt

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.

Inhaltsangabe

Inhaltsverzeichnis
Semantic Data
Chapter 1 Why Semantics?
Data Integration Across the Web
Traditional Data-Modeling Methods
Semantic Relationships
Metadata Is Data
Building for the Unexpected
Perpetual Beta
Chapter 2 Expressing Meaning
An Example: Movie Data
Building a Simple Triplestore
Merging Graphs
Adding and Querying Movie Data
Other Examples
Chapter 3 Using Semantic Data
A Simple Query Language
Feed-Forward Inference
Searching for Connections
Shared Keys and Overlapping Graphs
Basic Graph Visualization
Semantic Data Is Flexible
Standards and Sources
Chapter 4 Just Enough RDF
What Is RDF?
The RDF Data Model
RDF Serialization Formats
Introducing RDFLib
SPARQL
Chapter 5 Sources of Semantic Data
Friend of a Friend (FOAF)
Linked Data
Freebase
Chapter 6 What Do You Mean, Ontology ?
What Is It Good For?
An Introduction to Data Modeling
Just Enough OWL
Using Protégé
Just a Bit More OWL
Some Other Ontologies
This Is Not My Beautiful Relational Schema!
Chapter 7 Publishing Semantic Data
Embedding Semantics
Dealing with Legacy Data
RDFLib to Linked Data
Putting It into Practice
Chapter 8 Overview of Toolkits Sesame
Other RDF Stores
SIMILE/Exhibit
Chapter 9 Introspecting Objects from Data
RDFObject Examples
RDFObject Framework
How RDFObject Works
Chapter 10 Tying It All Together
A Job Listing Application
Job Listing Data
Serving the Website
A Generic Viewer
Getting Company Data
Specialized Views
Publishing for Others
Expanding the Data
Sophisticated Queries
Visualizing the Job Data
Further Expansion
Epilogue
Chapter 11 The Giant Global Graph
Vision, Hype, and Reality
Participating in the Global Graph Community
Bracing for Continuous Change
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