Introduction to Linked Data and the Semantic Web

Video Description

Recorded live at Data Modeling Zone 2016 (

In his 2009 TED talk, Tim Berners-Lee (a.k.a. The Father of the Web) urged us onward toward a compelling vision for the next Web - a "Semantic Web".

"It's called Linked Data," he said. "I want you to make it. I want you to demand it."

But what is Linked Data? Why is it valuable? How does it work? And how can you use it to advance your organization with the work you do?

Briefly described, Linked Data, is a method of modeling and publishing structured data so that it can be interlinked and become more useful through semantic queries. Linked Data proposes to turn the existing Web of hyperlinked documents, which are mostly made for people to read, into a Web of linked data that better enables computers and people to work in cooperation. It simplifies the publishing and integration of data and it can solve a host of classic I.T. problems within your organization and on a global scale. Linked Data can change the way you think about how to model, create, share, and integrate data.

In this gentle, step-wise, and comprehensive presentation, you'll learn essential concepts - the most important things you need to know. Those new to this topic will walk away with a fresh new perspective and a whole new toolbox for solving problems. Those familiar to the topic are sure to glean new insights, best-practices, and lessons-learned. In addition to learning about the "what, why and how", you will learn about:
  • Essential W3C standards such as the Resource Description Framework (RDF)
  • The SPARQL Query Language (SQL for the Semantic Web)
  • OWL - The Web Ontology Language and Ontology Modeling
  • “Triple-store” Graph Databases
  • Pre-existing (reusable) Vocabularies
  • Linked Open Data sources that you can find and leverage on the Web
  • Free, Open Source, and Commercial Tools Available for Use.

Product Information

  • Title: Introduction to Linked Data and the Semantic Web
  • Author(s): Cody Burleson
  • Release date: February 2017
  • Publisher(s): Technics Publications
  • ISBN: 9781634622141