Linked Open Data

Linked Open Data

Paperback Synthesis Lectures on Web Engineering

By (author) Tom Heath, By (author) Christian Bizer, Series edited by James Hendler, Series edited by Frank Van Harmelen

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  • Publisher: Morgan & Claypool Publishers
  • Format: Paperback | 138 pages
  • Dimensions: 190mm x 232mm x 8mm | 281g
  • Publication date: 1 March 2011
  • Publication City/Country: San Rafael
  • ISBN 10: 1608454304
  • ISBN 13: 9781608454303
  • Illustrations note: black & white illustrations
  • Sales rank: 753,387

Product description

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. LinkedData 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 LinkedData. We begin by outlining the basic principles of LinkedData, including coverage of relevant aspects of Web architecture. The remainder of the text is based around two main themes - the publication and consumption of LinkedData. Drawing on a practical LinkedData scenario, we provide guidance and best practices on: architectural approaches to publishing LinkedData; 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 LinkedData deployments. We give an overview of existing LinkedData applications and then examine the architectures that are used to consume LinkedData from the Web, alongside existing tools and frameworks that enable these. Readers can expect to gain a rich technical understanding of LinkedData fundamentals, as the basis for application development, research or further study.

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