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Scripting Intelligence: Web 3.0 Information Gathering and Processing (Expert's Voice in Open Source) 2009th Edition

4.0 out of 5 stars 2 customer reviews
ISBN-13: 978-1430223511
ISBN-10: 1430223510
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Editorial Reviews

About the Author

Mark Watson is the author of 14 books on artificial intelligence, Java, C++, UML, and Linux. He is a consultant who uses Ruby, Java, and Common Lisp. He maintains a web site at markwatson.com.
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Product Details

  • Series: Expert's Voice in Open Source
  • Paperback: 392 pages
  • Publisher: Apress; 2009 edition (June 29, 2009)
  • Language: English
  • ISBN-10: 1430223510
  • ISBN-13: 978-1430223511
  • Product Dimensions: 7 x 0.9 x 9.2 inches
  • Shipping Weight: 1.7 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #2,470,678 in Books (See Top 100 in Books)

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By OnceMore TOP 1000 REVIEWER on July 4, 2009
Format: Paperback
This 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.
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Format: Paperback
As a software architect building a scalable web platform that will be providing communication services for its users, this book helped me quickly get an understanding of some of the key ideas, tools, and technologies that will go into the system. There may be many different definitions for "Web 3.0" but I agree with the author that no matter on its final form a big part of Web 3.0 will be more interconnectedness and more intelligent data processing and retrieval. Web-related technology is too broad and changing too quickly to be an expert in everything but as an architect I need to know enough about the different options in order to use them effectively. The text and examples from the book are clear and concise and gave me the knowledge I needed to improve the system design and with the new background information I now know what to research further.
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