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.

Sign in or Join


Log in

­

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

Validating RDF Data

This book describes two languages for implementing constraints on RDF data, describing the main features of both Shape Expressions (ShEx) and Shapes Constraints Language (SHACL) [...]

By |September 15th, 2017|Comments Off on Validating RDF Data

The Academy Unbound Linked Data as Revolution

Much has been said about Linked Data, its ties to the Semantic Web, and its application for libraries, but what is it exactly and how [...]

By |May 22nd, 2017|Comments Off on The Academy Unbound Linked Data as Revolution

Synaptica Tech Talks: Data Modeling with Graphs

This tutorial explores data modelling by comparing and contrasting traditional relational databases with property graph databases and RDF Linked Data graph databases. Also discusses the [...]

By |March 7th, 2017|Comments Off on Synaptica Tech Talks: Data Modeling with Graphs

Linked Data: The World is Your Database

This PDF contains slides used at a talk given at KMWorld 2016. It begins by introducing the basic principles of Linked Data and the advantages [...]

By |March 7th, 2017|Comments Off on Linked Data: The World is Your Database

Moving from RDBMS to Graphs

This webinar discusses why companies are shifting away from RDBMS towards graph databases to unlock the business value in their data relationships. The speaker stresses [...]

By |January 11th, 2017|Comments Off on Moving from RDBMS to Graphs

Databases: Graph vs. Relational

This video describes the differences between graph database models (such as RDF) and relational models (RDBMS). The narrator gives examples of when it would be [...]

By |January 8th, 2017|Comments Off on Databases: Graph vs. Relational

How Does a Graph Database Differ From a Relational Database?

This video describes the difference between a graph database model (such as RDF) and the relational database model (RDBMS). Focuses on the increased efficiency of [...]

By |January 8th, 2017|Comments Off on How Does a Graph Database Differ From a Relational Database?

RDFProv: A Relational RDF Store for Querying and Managing Scientific Workflow Provenance

Provenance metadata has become increasingly important to support scientific discovery, reproducibility, result interpretation, and problem diagnosis in scientific workflow environments. The provenance management problem concerns [...]

By |November 22nd, 2016|Comments Off on RDFProv: A Relational RDF Store for Querying and Managing Scientific Workflow Provenance

Provenance: The Missing Component of the Semantic Web for Privacy and Trust

Semantic Web data currently does not have any standardized or de facto agreed upon way to exhibit provenance information, even though provenance is the foundation [...]

By |November 22nd, 2016|Comments Off on Provenance: The Missing Component of the Semantic Web for Privacy and Trust

Ontologies and Data Models- Are They the Same?

This blog post from "Voyages of the Semantic Enterprise" discusses issues related to the title question, including a brief history of data modelling and how [...]

By |October 29th, 2016|Comments Off on Ontologies and Data Models- Are They the Same?