Scripting Intelligence: Web 3.0 Information Gathering and Processing (Expert's Voice in Open Source) Review

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Scripting Intelligence: Web 3.0 Information Gathering and Processing (Expert's Voice in Open Source) ReviewThis four-part book is focused on programming techniques and technologies that in the author's opinion can help next generation web applications handle data more "intelligently". The code samples are implemented in Ruby (and a little bit of Java).
Part One (Chapters 1-3) is basically an introduction to text and natural language processing, sampling tools and techniques for extracting raw text from various document types (e.g., pdf to plain text), classifying a document's subject matter (e.g., is this a document on "Health" or "Politics") or overall sentiment direction (degree of positiveness or negativeness), and recognizing entities such as persons and places in text (e.g., is "Florida" in a given sentence referring to a U.S. state, which is a place entity, or a person whose last name is Florida?).
Part Two (Chapters 4-7) provides tutorials on the Semantic Web, explaining what the RDF subject-predicate-object data format is and how a query language like SPARQL supports inferencing. URLs for publicly available RDF data sets, as well as tools and services useful for exploring them are given.
Part Three (Chapters 8-12) covers topics relating to the use of object-relational mapping (e.g., ActiveRecord and DataMapper used in standalone mode) and search (e.g., Lucene and Sphinx) technologies, publishing relational data as RDF data,and strategies for large-scale data storage involving the use of multiple servers, memcached, CouchDB, Amazon S3, or Amazon EC2.
Part Four (Chapters 13-15) includes a really good tutorial on the use of Hadoop-like Map Reduce facilities for large scale data processing, and ties things together by showing how the knowledge learned from previous chapters can be applied to the development of more substantial web applications.
The author uses many open-source gems (Ruby-centric software library) and tools in this book (most will work fine on Linux, Mac, or Windows, and with Ruby 1.8.x or 1.9, but exceptions are reported clearly), so in many cases, you only need to write a limited amount of code to follow along. If you don't want to download and install the gems, Appendix A provides instructions on how to apply for an Amazon Web Services account to access a ready to use Amazon Machine Image put together by the author for use on a rented Amazon EC2 Server Instance.
Because of the breadth of coverage, each technology can only be discussed to a limited depth, which some readers may find adequate and some may not, depending on a reader's interest on a particular topic, but most should still find this book to be a valuable resource, and that the author explains things well and concisely.Scripting Intelligence: Web 3.0 Information Gathering and Processing (Expert's Voice in Open Source) OverviewIntelligent information management is the key to many Web 2.0 applications, and Semantic Web technologies like the SPARQL query language are helping Web 2.0 evolve into Web 3.0. This book addresses how to use Ruby not only for basic information management tasks, but also how to use it with Semantic Web tools like RDF Schema and SPARQL. This book offers practical advice and example code rather than getting bogged down in the academic and theoretical side of information management.This book offers the reader recipes using Ruby for intelligent information management including information extraction from text, using Semantic Web technologies, information gathering (relational database metadata, web scraping, Wikipedia, Freebase), combining information from multiple sources, and strategies for publishing processed information. This book will be a valuable tool for anyone needing to gather, process, and publish web or database information.

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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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