Programming the Semantic Web

Build Flexible Applications with Graph Data

Toby Segaran, Colin Evans, Jamie Taylor

280 pages, parution le 15/07/2009

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Résumé

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

L'auteur - Toby Segaran

Toby Segaran est directeur du développement chez Genstruct, une entreprise spécialisée en bio-informatique pour laquelle il conçoit des algorithmes. Il collabore également à des projets Open Source, en proposant des analyses et recherches de valeurs dans les jeux de données collectées. Il est en outre connu pour certaines de ses applications web gratuites Tasktoy et Lazybase.

L'auteur - Colin Evans

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.

L'auteur - Jamie Taylor

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.

Sommaire

Semantic Data
- Why Semantics ?
- Expressing Meaning
- Using Semantic Data
Standards and Sources
- Just Enough RDF
- Sources of Semantic Data
- What Do You Mean, "Ontology" ?
- Publishing Semantic Data
Putting It into Practice
- Overview of Toolkits
- Introspecting Objects from Data
- Tying It All Together
Epilogue : The Giant Global Graph

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Caractéristiques techniques

	PAPIER
Éditeur(s)	O'Reilly
Auteur(s)	Toby Segaran, Colin Evans, Jamie Taylor
Parution	15/07/2009
Nb. de pages	280
Format	17,5 x 23,1
Couverture	Broché
Poids	431g
Intérieur	Noir et Blanc
EAN13	9780596153816
ISBN13	978-0-596-15381-6