.png){kind=logo}
Stock image for illustration purposes only - book cover, edition or condition may vary.
Description for Linked Data
Paperback. Num Pages: 300 pages. BIC Classification: UNN. Category: (P) Professional & Vocational. Dimension: 235 x 192 x 16. Weight in Grams: 516.
DESCRIPTION Linked Data is a standards-driven model for representing structured data on the Web that gives developers, publishers, and information architects a consistent, predictable way to publish, merge and consume data. It's been adopted by many well-known institutions, including Google, Facebook, IBM, Oracle, and government agencies, as well projects such as Drupal and WordPress. Linked Data presents the Linked Data model in plain, jargon-free language and offers practical techniques using everyday tools like JavaScript and Python. It works through ... Read more
DESCRIPTION Linked Data is a standards-driven model for representing structured data on the Web that gives developers, publishers, and information architects a consistent, predictable way to publish, merge and consume data. It's been adopted by many well-known institutions, including Google, Facebook, IBM, Oracle, and government agencies, as well projects such as Drupal and WordPress. Linked Data presents the Linked Data model in plain, jargon-free language and offers practical techniques using everyday tools like JavaScript and Python. It works through ... Read more
Product Details
Publisher
Manning Publications United States
Number of pages
425
Format
Paperback
Publication date
2014
Condition
New
Weight
515g
Number of Pages
425
Place of Publication
New York, United States
ISBN
9781617290398
SKU
V9781617290398
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About David Wood
AUTHOR BIO David Wood architected the first large-scale RDF database (http://mulgara.org), re-architected the Persistent URL service (http://purl.org, http://purlz.org) to support Linked Data, and co-founded the Callimachus Project (http://callimachusproject.org). He is co-chair of the World Wide Web Consortium's RDF Working Group (http://w3.org/2011/rdf-wg/). ... Read more
Reviews for Linked Data