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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Replacing old version of comp index.

Learning from the Masters: Understanding Ontologies found on the Web (Part 2)

The purpose of this presentation was to help conference attendees gain sufficient experience of working with OWL and tools (e.g., the Swoop ontology editor/browser) to [...]

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Linked Data Cookbook

This guidance is intended to help data curators and publishers better understand how to best use their time and resources to achieve the noble goals [...]

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FEATR: SPARQL Feature Detection

This video discusses FEATR, a tool which was developed as a practical solution for Web developers to detect the features of a SPARQL endpoint and [...]

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Providing Linked Data

This video presentation covers the whole spectrum of Linked Data production and exposure. It begins with a grounding in Linked Data principles and best practices, [...]

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Answering Queries Over OWL Ontologies with SPARQL

This slide presentation discusses the various types of RDF Schema and OWL entailment regimes defined by SPARQL 1.1. It highlights where limitations and restrictions exist [...]

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Querying Linked Data

This presentation looks in detail at SPARQL and introduces approaches for querying and updating semantic data. It covers the SPARQL algebra, the SPARQL protocol, and [...]

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RDF Database Systems: Triples Storage and SPARQL Query Processing

Available in print or EBook, this resource professes to "distill everything you need to know to effectively use or design an RDF database". This book [...]

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Preserving Linked Data: Challenges and Opportunities

In this video, the speaker begins by discussing the Web of Data and Linked Data Principles, then switches focus to the challenges of publishing and [...]

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IRIS RDFS Reasoner

The RDFS Reasoner is a framework that enables reasoning over RDF Schema ontologies and that uses IRIS as underlying reasoning engine. The RDFS Reasoner implementation [...]

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Introduction to Linked Data: Background Technologies and Standards, Motivating Application Scenario

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

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