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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Knows that anything can be named with Uniform Resource Identifiers (URIs), such as agents, places, events, artifacts, and concepts.

Quick Introduction to Linked Data

This slide presentation describes the transition from a Web of Documents to a Web of Data, introducing basic Linked Data principles (including HTTP URIs and [...]

By |August 13th, 2015|0 Comments

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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Linked Data FAQ

A brief overview of Linked Data and the Semantic Web. Contains FAQs and links to other sites, including papers by Tim Berners-Lee and others. Although [...]

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NCBI RDF URI Standards

Topic: Publishing RDF; Competency: Determines whether to use hash (#) or slash (/). This document describes standards for NCBI-minted persistent URIs that identify RDF resources. [...]

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Learn RDF

This set of lessons is an introduction to RDF, the core data model of the Semantic Web and the foundation of all other Semantic Web [...]

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An Introduction to Linked Open Data

An extensive slide presentation covering the key components that support RDF: the graph model, the triple statement, and URIs. Also discusses the Web of Data [...]

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Linked Data and Ontology Tutorial for RD-Connect

This presentation demonstrates how research that requires analyses across different data sources can be sped up using Linked Data and Ontologies. The tutorial was created [...]

By |August 13th, 2015|0 Comments