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Linked Data: Evolving the Web into a Global Data Space (English Edition)

Linked Data: Evolving the Web into a Global Data Space (English Edition) [Kindle Edition]

Tom Heath , Christian Bizer
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The World Wide Web has enabled the creation of a global information space comprising linked documents. As the Web becomes ever more enmeshed with our daily lives, there is a growing desire for direct access to raw data not currently available on the Web or bound up in hypertext documents. Linked Data provides a publishing paradigm in which not only documents, but also data, can be a first class citizen of the Web, thereby enabling the extension of the Web with a global data space based on open standards - the Web of Data. In this Synthesis lecture we provide readers with a detailed technical introduction to Linked Data. We begin by outlining the basic principles of Linked Data, including coverage of relevant aspects of Web architecture. The remainder of the text is based around two main themes - the publication and consumption of Linked Data. Drawing on a practical Linked Data scenario, we provide guidance and best practices on: architectural approaches to publishing Linked Data; choosing URIs and vocabularies to identify and describe resources; deciding what data to return in a description of a resource on the Web; methods and frameworks for automated linking of data sets; and testing and debugging approaches for Linked Data deployments. We give an overview of existing Linked Data applications and then examine the architectures that are used to consume Linked Data from the Web, alongside existing tools and frameworks that enable these. Readers can expect to gain a rich technical understanding of Linked Data fundamentals, as the basis for application development, research or further study.

Table of Contents: List of Figures / Introduction / Principles of Linked Data / The Web of Data / Linked Data Design Considerations / Recipes for Publishing Linked Data / Consuming Linked Data / Summary and Outlook


  • Format: Kindle Edition
  • Dateigröße: 1747 KB
  • Seitenzahl der Print-Ausgabe: 129 Seiten
  • Verlag: Morgan & Claypool Publishers (1. Februar 2011)
  • Verkauf durch: Amazon Media EU S.à r.l.
  • Sprache: Englisch
  • ASIN: B009KC1YM2
  • Text-to-Speech (Vorlesemodus): Aktiviert
  • X-Ray:
  • Durchschnittliche Kundenbewertung: 4.0 von 5 Sternen  Alle Rezensionen anzeigen (1 Kundenrezension)
  • Amazon Bestseller-Rang: #227.256 Bezahlt in Kindle-Shop (Siehe Top 100 Bezahlt in Kindle-Shop)

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4.0 von 5 Sternen Very good introduction 15. November 2013
Format:Taschenbuch|Verifizierter Kauf
Linked Data gives a good introduction in the subject, with many useful references to websites. Recommended for everybody who wants to use linked open data.
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Die hilfreichsten Kundenrezensionen auf (beta) 5.0 von 5 Sternen  4 Rezensionen
2 von 2 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Linked Data: the Definite Book 28. Juli 2011
Von Stefan Gradmann - Veröffentlicht auf
As the authors write in their preface: "Summarizing the state of the art in Linked Data was a job that needed doing" - and Tom Heath together with Chris Bizer have definitely done a great job in writing an eminently practical synopsis of the state of the art in the field. They start by positioning Linked Data in the bigger picture of the WWW and its evolution from a web of documents to a global data space that contains not only genuine web resources - "information resources" in the W3C lingo - but also "non information resources", things in the 'real' world (i. e. the one outside the web) and which can be represented in the WWW, identified by uniform identifiers (URIs) and linked to other resources by 'typed' links which give information regarding the link 'semantics' that can be processed by machines. After thus positioning Linked Data in this nutshell vision of the evolution of WWW architecture and giving a thorough introduction to RDF as the key standard the authors spend the rest of the 136 pages discussing design issues (chapter 4), on giving recipes as to how to publish data according to the linked data principles (chapter 5) and on how to consume such data from the web (chapter 6) that turns into one huge, integrated data space supported by open, community-driven standards this way. Numerous examples are given throughout the whole book, making it a very useful and relatively concise tutorial covering a complex and quickly evolving field.
At the time of writing this review, the book can be appraised as the reference to all practical issues of the field: a 'must read' for anyone wishing to implement or to use linked data or simply wishing to understand the technical reality of what risks to degenerate into a technical buzzword.
The one question Bizer and Heath have consistently avoided is the (non-technical) issue of the 'openness' of Linked Data: does Linked Data necessarily imply 'Linked Open Data'? The purely technical answer is "no" - and the authors restrict themselves to this technical answer, which probably again is a virtue rather than a deficit, thus retaining the authoritative potential of their book which remains useful for the proponents of Linked Open Data and for those implementing 'Linked Data behind a Firewall' alike.
I recommend this book without reservation and will be glad to use it in my lectures and courses at Humboldt University zu Berlin!
5.0 von 5 Sternen inspirational starting point to LD 18. Mai 2014
Von Claudio Rivera - Veröffentlicht auf
Format:Taschenbuch|Verifizierter Kauf
This little book is dense, with lots of information and references. When I bought the book I was hoping to find many explanations and a high level description of what we could name «the linked-data management» use case. I have been interested in the Semantic Web concept since its inception in the 1990s, and during 2010 also I implemented a metadata writer to RDF for a digital library. But I must admit that I wasn't sure about the practicality and easy adoption of the Semantic Web for the general public that create web documents. Anyone could agree that it's very different to write some paragraphs in a WYSIWYG editor to create several web pages, than to write complex syntax sentences in N3 or Turtle format. This book points to many directions, and picture a better landscape of the practical and useful use of semantics in the Web, that add also big qualities to data. A complete reading of the book inspires me to start further investigations, and to define uses cases for adding semantics in contexts where an understanding and sharing concepts are the main goals.
1 von 2 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Excellent explanation of Semantic Web technology 12. August 2012
Von Dan Carey - Veröffentlicht auf
Format:Taschenbuch|Verifizierter Kauf
I'm going to violate one of my self-imposed rules and give this 5 stars even though I haven't re-read it yet. Of the various books and extended articles I've read about the Semantic Web, this may be the most useful from the "so what?" perspective. Yes, those of us who work in (or intend to work in) the SemWeb space need to understand ontologies and OWL and SPARQL, and there are other books that cover those topics more thoroughly than this book. But the point of the SemWeb isn't just to create nifty ontology models; it is to create and access data using web technology. And Heath's book gets into some of the nitty-gritty details about that in a way that no other book I've yet read does. It describes patterns of how to publish the data and how to consume linked data; what the conventions are for URIs and the underlying data files and directories; how to apply provenance metadata; and more. I don't know if this should be the first book you point a SemWeb novice towards, but it should almost certainly be the second.
1 von 5 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Excellent book 20. Juni 2011
Von Cadu Barbosa - Veröffentlicht auf
Format:Taschenbuch|Verifizierter Kauf
Excellent book on Linked Data. Covers the subject clearly and easily. Besides being a book written by the precursors of the Linked Data Project.
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