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Learning SPARQL (Inglese) Copertina flessibile – 16 ago 2011

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Learning SPARQL
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Descrizione del libro

Querying and Updating with SPARQL 1.1


Bob DuCharme ( is a solutions architect at TopQuadrant, a provider of software for modeling, developing, and deploying semantic web applications. He came to TopQuadrant from Innodata Isogen, where he did system and architecture analysis and design for a wide range of global publishing clients as well as cochairing the 2008 Linked Data Planet conference in New York City. Earlier in his career, he oversaw SGML and XML development at Moody's Investors Service and then moved on to LexisNexis, where he did data and systems architecture as they made the transition to XML-based systems.

In the newsletter, editor Kendall Clark once wrote “Does anyone write tech prose as clear as Bob?” Bob is the author of Manning Publications’ “XSLT Quickly,” Prentice Hall’s “XML: The Annotated Specification” and “SGML CD,” and McGraw Hill’s “Operating Systems Handbook.” He's written over 70 pieces for and has contributed to Dr. Dobb’s Journal, IBM developerWorks, Nodalities, DevX,, XML Magazine, XML Journal, XML Developer, O’Reilly Books’ “XML Hacks,” and Prentice Hall’s “XML Handbook.” Bob received his BA in Religion fromColumbia University and his Master’s in Computer Science from New York University. He lives in Charlottesville, Virginia, with his wife Jennifer and their daughters Madeline and Alice.

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4 di 4 persone hanno trovato utile la seguente recensione
5.0 su 5 stelle Essential Book On The Semantic Web 15 settembre 2011
Di Paul A. Houle - Pubblicato su
Formato: Copertina flessibile Acquisto verificato
Until very recently, people learning semantic web technology had to go to technical standards documents that were often abstruse and difficult to read. Like Semantic Web for the Working Ontologist, "Learning SPARQL" uncovers how simple RDF and SPARQL really are. Anyone who's done linked data projects (where it's easy to get 200+ million triples) will appreciate the focus on performance, data cleaning, and queries for exploring data sets -- the author's real world experience shows through.

If there's a weakness, some of the examples are a little too simple, and the author even apologizes for this sometimes, but this is a concise book that will have you using and enjoying SPARQL very quickly. If SPARQL is part of your life, or if you're trying to understand the basics of the semantic web, get it right now.
3 di 3 persone hanno trovato utile la seguente recensione
5.0 su 5 stelle Excellent book on SPARQL 26 novembre 2011
Di David Witherspoon - Pubblicato su
Formato: Copertina flessibile
I have been working with the Semantic Web for the past two years and I have read many book, forums, and specifications learning about the different component that make up the Semantic Web. I had always know that SPARQL would be similar to SQL due to the fact that they are both query languages, but I did not realize how powerful SPARQL queries could be and all the great functions that are provided in the language until reading Bob DuCharme book Learning SPARQL. It seemed that even with all of the experience that I had gained on creating SPARQL queries by reading web sits, forums, and specifications on SPARQL 1.1, I found so many great techniques and functions that I did not know SPARQL supported. The examples that are provided in the book are excellent and help solidify the query term and/or function that the author is presenting. I started to read this book in order to learn more about SPARQL and see if it could help out in some areas of the project that I was working on or not. Not only was I able to find great features that SPARQL supports, I actually learned better ways to write the SPARQL queries that were more efficient. Gaining the knowledge in both of these areas helped my project out and regret that I have is that I should have read this book sooner.

The book is very well organized and will allow anyone from a novice to someone with more experience to learn something new throughout the book. The author starts out by diving right in to SPARQL queries and provides a great overview of queries against a RDF triple store. Then he proceeds by providing a chapter dedicated to the background of the Semantic Web, RDF, SPARQL, and Linked Data. From there he dives right into the meat of SPARQL and it only gets better from there. My favorite chapters were 5 and 6, where he talked about functions supported in SPARQL and updating data with SPARQL. The reason that I found these chapters to be the most interesting was the fact that I learned a lot a great things in those chapters alone. In addition, I was able to apply what I had learned to my project and see the added value immediately. For example, I knew that SPARQL supported named graphes, I just never realized all the cool things that you can do with graphs within SPARQL.

I would recommend this to anyone that wants to learn more about SPARQL or doesn't know a thing about it and wants to query a RDF triple store like DBpedia. For any developer that is working with the semantic web and doesn't want to spend hours and hours searching the web in order to see what can be done with SPARQL, this is the book/reference for you.
4 di 4 persone hanno trovato utile la seguente recensione
5.0 su 5 stelle great read, very informative, inexpensive on kindle 30 gennaio 2012
Di Amazon Customer - Pubblicato su
Formato: Formato Kindle Acquisto verificato
It doesn't get much better than this. A concise and well-written discussion of various fundamentals of RDF followed by a progressive stepping through SPARQL, both 1.0 and 1.1. I paid less than 10 bucks on kindle and I got my money's worth before the end of chapter 2.
2 di 2 persone hanno trovato utile la seguente recensione
4.0 su 5 stelle Very good introductory book on SPARQL 15 agosto 2011
Di Sunflower - Pubblicato su
Formato: Copertina flessibile
With the addition of update capabilities to SPARQL 1.1, SPARQL has become a more interesting language for managing semantic web data (i.e., RDF Triples, etc.).

This introductory book on SPARQL will get you started with learning the language right away. It doesn't go over a lot of theoretical stuff about the semantic web, but it does devote one chapter out of seven to it, covering just enough concepts and background material to get you grounded quickly.

The book begins with basic tutorials on how to write simple queries, before moving on to more complex queries, such as those involving the use of filters and data grouping, and the integration of results from querying more than one local and/or remote data sources.

The tutorials on data querying are then followed by tutorials on how to use SPARQL for inserting, deleting, and changing semantic web data. The last chapter discusses how SPARQL result sets can be returned in various formats (e.g., XML, JSON) and mentions a number of libraries available to web developers that can help in the integration of such data into web applications.

After reading this book, you would have learned many useful and practical techniques, such as: how to initially vet an unfamiliar dataset for, say, potential violations of important business rules, before incorporating parts or all of it to your database; how to identify and isolate problematic data; how to perform previews before you delete or insert data, etc.

You can download the data and code files used in this book from the website mentioned in the book. To follow along with the hands-on tutorials, you only need two pieces of easy to install and configure open source Java-language based software from the Open Jena Project: ARQ and Fuseki (links to the download areas for these software are given in the book, but the Fuseki download area might have been altered because I found it in a slightly different address). You won't be writing Java code because all the code samples can be run using command scripts (where you only need to provide the command with names of your data and query files) or interacting with a web form. I went through many of the exercises using ARQ 2.8.8 and Fuseki 0.2, and did not encounter problems with the downloaded files, except for a minor one involving a data file that ARQ flagged as having an illegal RDF token (the file had an XML style comment line <!-- ... --> that upon removal made ARQ happy again).

Although the book does contain the occasional comments on whether a technique might be more performant than another one, I did not really expect a first generation book on SPARQL to devote much space to performance this early in the evolution of products that support SPARQL.

I thought that, overall, the book is well written and easy to follow. For subsequent editions of this book, I hope the author will have an opportunity to expand on the last chapter, Building Applications With SPARQL: A Brief Tour, to include even more practical information, and perhaps, even lessons learned.
2 di 2 persone hanno trovato utile la seguente recensione
5.0 su 5 stelle Straight to the point with an abudance of examples to help you get started with SPARQL 1 luglio 2012
Di Emre Sevinc - Pubblicato su
Formato: Copertina flessibile Acquisto verificato
This book's biggest advantage is its very narrow focus: To teach the reader how SPARQL (SPARQL Protocol and RDF Query Language) can be utilized for Semantic Web triple stores and linked data sets. That is, instead of diving into origins, whys and hows of Semantic Web, it spends about 220 information-rich pages full of tips and tricks you can immediately apply to your daily semantic web development and especially query design and interpretation problems. If you are a complete Semantic Web novice, then this book should not be your first book because there are other excellent books that very gently introduce semantic concepts as well as ontology design topics; but as a second or third book, especially for people dealing with SPARQL and ones who want to see what the new SPARQL 1.1 is up to (which you can already use), this is the best book currently published.

On the other hand, you should be prepared for the lack of Semantic Web application development examples: The book includes a few short code snippets in Python and a very simplistic semantic web application (again in Python) but other than that all of the pages are dedicated to pure SPARQL; do not look for any detailed chapter on using Jena API in Java or in depth discussion of semantic web application design in Python, Ruby, etc., together with ontology and knowledge management guidelines.

In summary, if you have to choose between the official SPARQL 1.1 standard at [...] and this book, I have very little doubt about your first choice.