Practical RDF Review

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Practical RDF ReviewThere's a lot of information in this book, and there's really no alternative source for much of it. The RDF spec kept changing while this book was being written, which accounts for how some of the inconsistencies and inaccuracies got into the text.
However, it wasn't proofreading that should have caught these problems but the technical reviewers. They flat fell down on the job. On page 20, for instance, the text says that "in all instances of RDF graphs I've seen, [the direction of the arrows] is from right to left." Right below it, and in all the graphs in the book and in all RDF graphs that _I_ have seen, they point from left to right.
Or on page 41, the text says "a blank node is represented by an oval (it is a resource)" and in all the book's figures, blank nodes are represented by rectangles. Many other such maddening inconsistencies occur between the text and the figures and examples, which frustrates someone trying to learn what's going on.
Every writer gets some things wrong, and it's up to the publisher and its tech review to catch and correct them. Powers may have written uninspiredly and slipped up in her revising, but it's O'Reilly and the four people who provided technical review that is more at fault for the problems.Practical RDF Overview
The Resource Description Framework (RDF) is a structure for describing and interchanging metadata on the Web--anything from library catalogs and worldwide directories to bioinformatics, Mozilla internal data structures, and knowledge bases for artificial intelligence projects. RDF provides a consistent framework and syntax for describing and querying data, making it possible to share website descriptions more easily. RDF's capabilities, however, have long been shrouded by its reputation for complexity and a difficult family of specifications. Practical RDF breaks through this reputation with immediate and solvable problems to help you understand, master, and implement RDF solutions.

Practical RDF explains RDF from the ground up, providing real-world examples and descriptions of how the technology is being used in applications like Mozilla, FOAF, and Chandler, as well as infrastructure you can use to build your own applications. This book cuts to the heart of the W3C's often obscure specifications, giving you tools to apply RDF successfully in your own projects.

The first part of the book focuses on the RDF specifications. After an introduction to RDF, the book covers the RDF specification documents themselves, including RDF Semantics and Concepts and Abstract Model specifications, RDF constructs, and the RDF Schema. The second section focuses on programming language support, and the tools and utilities that allow developers to review, edit, parse, store, and manipulate RDF/XML. Subsequent sections focus on RDF's data roots, programming and framework support, and practical implementation and use of RDF and RDF/XML.

If you want to know how to apply RDF to information processing, Practical RDF is for you. Whether your interests lie in large-scale information aggregation and analysis or in smaller-scale projects like weblog syndication, this book will provide you with a solid foundation for working with RDF.


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Semantic Web Programming Review

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Semantic Web Programming ReviewThis book will help you acquire knowledge or skills in: the Semantic Web approach to Information Modeling, the use of rules to augment such models when needed, where to find data sets already formatted for Semantic Web usage or ontologies that you could adapt for your application if you don't want to create one from scratch, how to interrogate the Semantic Web using special browsers or browser plugins, search engines, or a query language such as SPARQL, how to use an open-source tool such as Protege from Stanford University to create Semantic Web Information Models, an open-source reasoning engine like Pellet for making inferences flowing from your data sets, and an open-source development framework like Jena from Hewlett Packard for creating Semantic Web applications.
This is not the only book written for software developers but it is the best available so far, especially if you are a Java Developer. Toby Segaran et al's "Programming the Semantic Web" uses Python as the main programming language and has more limited coverage of Semantic Web topics. Both books, however, are quite readable even if you are not a programmer. If you're really looking to learn just the concepts, however, you might want to consider "A Semantic Web Primer 2nd Edition" by Grigoris Antoniou and Frank van Harmelen, or "Introduction to the Semantic Web and Semantic Web Services" by Liyang Yu, instead.
I like this book very much not only because it is very well-written and thought out, but also for its up-to-date and broad coverage. It covers Version 2 of the Web Ontology Language used for Information Modeling, so new features such as property chains, keys, and custom data types are discussed. It has a good tutorial on SPARQL, and the chapter on Patterns and Best Practices include architectural recommendations and useful tips for managing URIs and annotations. It provides references to important concept papers, and to popular open-source and commercial tools.
I do hope that future editions of this book will include: more concrete discussions of the challenges involved in modeling and using Semantic Web data due to the paradigm's adherence to the Open World rather than the Closed World Assumption, and recommendations on potential approaches to model versioning and addressing security concerns such as role-based viewing of Semantic Web data. Overall, however, an excellent book!Semantic Web Programming OverviewThe next major advance in the Web?Web 3.0?will be built on semantic Web technologies, which will allow data to be shared and reused across application, enterprise, and community boundaries. Written by a team of highly experienced Web developers, this book explains examines how this powerful new technology can unify and fully leverage the ever-growing data, information, and services that are available on the Internet. Helpful examples demonstrate how to use the semantic Web to solve practical, real-world problems while you take a look at the set of design principles, collaborative working groups, and technologies that form the semantic Web. The companion Web site features full code, as well as a reference section, a FAQ section, a discussion forum, and a semantic blog.

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