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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Understands a named graph as one of the collection of graphs comprising an RDF dataset, with a graph name unique in the context of that dataset.

Tutorial on Metadata Provenance

This two-part slide presentation was used at the Semantic Web in Libraries (SWIB) Conference. "Part 1: Linked Data Provenance" answers the questions, "How can we [...]

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

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

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

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

Providing Linked Data

This module covers the whole spectrum of Linked Data production and exposure. After a grounding in the Linked Data principles and best practices, with special [...]

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

Tracking RDF Graph Provenance using RDF Molecules

The Semantic Web facilitates the integration of partial knowledge and finding evidence for hypothesis from Web knowledge sources. However, the appropriate level of granularity for [...]

By |January 17th, 2016|Comments Off on Tracking RDF Graph Provenance using RDF Molecules

On Explicit Provenance Management in RDF/S Graphs

The notion of RDF Named Graphs has been proposed in order to assign provenance information to data described using RDF triples. This paper argues that [...]

By |January 17th, 2016|Comments Off on On Explicit Provenance Management in RDF/S Graphs

Linked Data Patterns

This resource is a pattern catalogue for modelling, publishing, and consuming Linked Data which adopts a tried and tested means of communicating knowledge and experience [...]

By |January 16th, 2016|Comments Off on Linked Data Patterns