Programming the Semantic Web

Programming the Semantic Web

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by Toby Segaran, Colin Evans, Jamie Taylor
     
 

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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

Overview

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

Product Details

ISBN-13:
9781449379179
Publisher:
O'Reilly Media, Incorporated
Publication date:
07/09/2009
Sold by:
Barnes & Noble
Format:
NOOK Book
Pages:
302
File size:
8 MB

Meet the Author

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.

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Programming the Semantic Web 4 out of 5 based on 0 ratings. 2 reviews.
Anonymous More than 1 year ago
davidjensen More than 1 year ago
This is the first book I have read on the semantic web that does not give me feeling that I am in outer space. It is also one of the few books that honestly appraises the current, usable state of the semantic web. It is clearly written and took me a day to read (without working the examples). In the beginning, it starts with a pure triples system built from the ground up, rather than plunging the reader into the standard technologies, which are levels of abstraction above triples and may not be essential. The reader is left with the impression that he is the one who chooses to use the technologies introduced. It is also the only book that mentions how RDF evolved. It contains many example programs using existing data sources (e.g. freebase). There is a two page introduction by Jim Hendler, one of the top figures in the semantic web and co-author of "The Semantic Web for the Working Ontologist" (also, a good companion book). The main view of this book is the semantic web as extension, modification, and very major improvement, to relational systems. It also discusses the pure AI approach. I does not get into other uses of the semantic web, such as text retrieval or approaches such as topic maps. The large majority of this book is in Python, the easiest and probably the best designed of modern languages. It has a few examples in JavaScript and Java. Readers are encouraged to implement the examples in other languages, if they are inclined to. Physicists and chemists are required to run experiments to prove their assertions. Many other sciences have emulated aspects of physics to acquire the mantle. The semantic web does not ask for "experiments" although it is about semantics and, therefore, about something to be discovered. This book starts in that direction.