The project Linked Data for Professional Education (LD4PE), funded between 2014 and 2017 by the Institute of Museum and Library Studies (IMLS) and lead by the University of Washington Information School, developed a web-based exploratorium to support structured discovery of online learning resources about Linked Data. The project produced this website, which has been converted into a static site for preservation, and a Linked Data Competency Index. DCMI will keep this site online on a "best effort" basis as long as resources permit. The Internet Archive's Wayback Machine should be regarded as the source of archival copies for the long term.

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Articulates differences between the RDF abstract data model and the XML and relational models.

SPARQL Queries on a Web 3.0 Database

Demonstrates how to load RDF and OWL knowledge bases into AllegroGraph and how queries are executed over the data with an optimized SPARQL engine. Also [...]

By |August 13th, 2015|0 Comments

Mining Linked Data: It's All in the Links

Extracting new knowledge from the Web of Data using traditional data mining techniques is challenging for many reasons, including: the rich and complex graph structure; [...]

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Module 1: Introduction and Application Scenarios

This module introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published [...]

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Advantages and Myths of RDF

This paper addresses the question, "Is RDF a Framework, Data Model or Vocabulary?" The author argues that RDF is simultaneously a framework, data model and [...]

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RDF (Resource Description Framework) is the data model of the Semantic Web. . In this lesson you will learn: 1) What RDF is and how [...]

By |August 13th, 2015|0 Comments