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Learning SPARQL por Bob DuCharme
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Learning SPARQL (edição 2011)

por Bob DuCharme

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703378,347 (4.17)Nenhum(a)
Gain hands-on experience with SPARQL, the RDF query language that's bringing new possibilities to semantic web, linked data, and big data projects. This updated and expanded edition shows you how to use SPARQL 1.1 with a variety of tools to retrieve, manipulate, and federate data from the public web as well as from private sources. Author Bob DuCharme has you writing simple queries right away before providing background on how SPARQL fits into RDF technologies. Using short examples that you can run yourself with open source software, you'll learn how to update, add to, and delete data in RDF datasets. Get the big picture on RDF, linked data, and the semantic web; Use SPARQL to find bad data and create new data from existing data; Use datatype metadata and functions in your queries; Learn techniques and tools to help your queries run more efficiently; Use RDF Schemas and OWL ontologies to extend the power of your queries; Discover the roles that SPARQL can play in your applications.… (mais)
Membro:MagnusEnger
Título:Learning SPARQL
Autores:Bob DuCharme
Informação:O'Reilly Media (2011), Paperback, 256 pages
Coleções:Read in 2011
Avaliação:
Etiquetas:nonfiction, programming, semanticweb

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Learning SPARQL por Bob DuCharme

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An indispensable book for those of us dealing with semantic technologies. I finished this one just in time for the 2nd edition (which I will be buying). ( )
  Treebeard_404 | Jan 23, 2024 |
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 http://www.w3.org/TR/sparql11-query/ and this book, I have very little doubt about your first choice. ( )
1 vote EmreSevinc | Jul 1, 2012 |
A comprehensive introduction to SPARQL tools, queries, and endpoints. The examples are illustrative and well-thought out. Some of the Fuseki material is stale already, but there is plenty here to incorporate SPARLQ into linked-data web solutions. ( )
  albertgoldfain | May 15, 2012 |
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Gain hands-on experience with SPARQL, the RDF query language that's bringing new possibilities to semantic web, linked data, and big data projects. This updated and expanded edition shows you how to use SPARQL 1.1 with a variety of tools to retrieve, manipulate, and federate data from the public web as well as from private sources. Author Bob DuCharme has you writing simple queries right away before providing background on how SPARQL fits into RDF technologies. Using short examples that you can run yourself with open source software, you'll learn how to update, add to, and delete data in RDF datasets. Get the big picture on RDF, linked data, and the semantic web; Use SPARQL to find bad data and create new data from existing data; Use datatype metadata and functions in your queries; Learn techniques and tools to help your queries run more efficiently; Use RDF Schemas and OWL ontologies to extend the power of your queries; Discover the roles that SPARQL can play in your applications.

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