Mastering Structured Data on the Semantic Web: From HTML5 Microdata to Linked Open Data By Leslie Sikos

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Mastering Structured Data on the Semantic Web: From HTML5 Microdata to Linked Open Data
 By Leslie Sikos

Mastering Structured Data on the Semantic Web: From HTML5 Microdata to Linked Open Data By Leslie Sikos


Mastering Structured Data on the Semantic Web: From HTML5 Microdata to Linked Open Data
 By Leslie Sikos


Ebook Free Mastering Structured Data on the Semantic Web: From HTML5 Microdata to Linked Open Data By Leslie Sikos

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Mastering Structured Data on the Semantic Web: From HTML5 Microdata to Linked Open Data
 By Leslie Sikos

  • Sales Rank: #1808092 in Books
  • Published on: 2015-06-30
  • Released on: 2015-07-01
  • Original language: English
  • Number of items: 1
  • Dimensions: 10.00" h x .58" w x 7.00" l, 1.00 pounds
  • Binding: Paperback
  • 256 pages

About the Author
Leslie F. Sikos, Ph.D., is a Semantic Web researcher at Flinders University, South Australia, specializing in semantic video annotations, ontology engineering, and natural language processing using Linguistic Linked Open Data. On the cutting edge of Internet technologies, he is a member of industry-leading organizations, such as the World Wide Web Consortium, the Internet Engineering Task Force, and the Internet Society. He is an invited editor and journal reviewer actively contributing to the development of open standards. Dr. Sikos is the author of 15 textbooks covering a wide range of topics from computer networks to software engineering and web design. Devoted to lifelong learning, he holds multiple degrees in computer science and information technology, as well as professional certificates from the industry. Thanks to his hands-on skills, coupled with a pedagogical background, he can introduce technical terms and explain complex issues in plain English.Dr. Sikos creates fully standard-compliant, mobile-friendly web sites with responsive web design—complemented by machine-readable annotations—and develops multimedia applications leveraging Semantic Web technologies. He works on the standardization of Linked Data implementations for the precise identification, description, and classification of multimedia fragments, advancing the traditional video annotation techniques. Inspired by the creation and exploitation of rich Linked Open Data datasets, he proudly contributes to the Open Data and Open Knowledge initiatives. For more information, visit www.lesliesikos.com.

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