- Copertina flessibile: 258 pagine
- Editore: O'Reilly Media; 1 edizione (16 agosto 2011)
- Lingua: Inglese
- ISBN-10: 1449306594
- ISBN-13: 978-1449306595
- Peso di spedizione: 408 g
- Posizione nella classifica Bestseller di Amazon:
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Learning SPARQL (Inglese) Copertina flessibile – 16 ago 2011
Descrizione del libro
Querying and Updating with SPARQL 1.1
Bob DuCharme (http://www.snee.com/bob) 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 XML.com 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 XML.com and has contributed to Dr. Dobb’s Journal, IBM developerWorks, Nodalities, DevX, perl.com, 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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Le recensioni clienti più utili su Amazon.com (beta)
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.
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.
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.
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.