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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Fundamentals of Resource Description Framework

Open Provenance Model Tutorial

Provenance, which is an explicit representation of the origin of data, is important for users to be able to put their trust in data. The [...]

By |November 22nd, 2016|Comments Off on Open Provenance Model Tutorial

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 and Annotations for Linked Data

Provenance tracking for Linked Data requires the identification of Linked Data resources. Annotating Linked Data on the level of single statements requires the identification of [...]

By |November 22nd, 2016|Comments Off on Provenance and Annotations for Linked Data

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

Coloring RDF Triples to Capture Provenance

Recording provenance information of RDF triples aggregated from different heterogeneous sources is crucial in order to effectively support trust mechanisms, digital rights and privacy policies. [...]

By |November 22nd, 2016|Comments Off on Coloring RDF Triples to Capture Provenance

Markup Languages and Document Processing: RDF Schema

These lecture slides were used for the course "Markup Languages and Document Processing", part of the Master in Informatics and Computing Engineering program at Porto [...]

By |November 21st, 2016|Comments Off on Markup Languages and Document Processing: RDF Schema

JSON Demo

This video consists of a demonstration of JavaScript Object Notation (JSON). It demonstrates how to avopid errors when using label-value pairs and arrays. This video [...]

By |November 5th, 2016|Comments Off on JSON Demo

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?

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 [...]

By |October 22nd, 2016|Comments Off on Introduction and Application Scenarios

Providing Linked Data Quiz

Ten multiple choice questions that are intended to test one's knowledge after reading and viewing the materials in Module 3: (http://www.euclid-project.eu/modules/course3).URL: http://www.euclid-project.eu/content/chapter-3-quiz.htmlKeywords: Linked Data Principles, [...]

By |October 22nd, 2016|Comments Off on Providing Linked Data Quiz