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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Relational Database to RDF Translation in the Cultural Heritage Domain

The author argues that simple algorithms for automatically mapping relational data to RDF are wasteful and inefficient. Instead, mapping can be significantly improved by using [...]

By |September 15th, 2015|Comments Off on Relational Database to RDF Translation in the Cultural Heritage Domain

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 [...]

By |September 15th, 2015|Comments Off on Linked Data Cookbook

Cookbook for Translating Relational Data Models to RDF Schemas

This slide presentation provides guidance for a person tasked with translating a Domain Model into an RDF schema. Modelling initiatives usually focus on a Domain [...]

By |September 15th, 2015|Comments Off on Cookbook for Translating Relational Data Models to RDF Schemas

The Profile Manager and the Resource Description Framework

This documentation from the Microsoft Developers Network (MSDN) provides basic information on the RDF Data Model and how it is used by the the Profile [...]

By |September 15th, 2015|Comments Off on The Profile Manager and the Resource Description Framework

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 |September 15th, 2015|Comments Off on Ontologies and Data Models- Are They the Same?

Who Needs SKOS-XL? Maybe No One

This blog post from "Voyages of the Semantic Enterprise" discusses the following issues and invites feedback: The SKOS-XL extension to the W3Cs SKOS standard for [...]

By |September 15th, 2015|Comments Off on Who Needs SKOS-XL? Maybe No One

Crowd-sourcing Linked Data Quality Assessment

This presentation looks into the use of crowd-sourcing as a means to handle Linked Data quality problems that are challenging to solve automatically. The authors [...]

By |September 15th, 2015|Comments Off on Crowd-sourcing Linked Data Quality Assessment

Integrating NLP using Linked Data

This paper argues that simplifying the interoperability of different NLP tools performing similar but also complementary tasks will facilitate the comparability of results and the [...]

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Real-time RDF Extraction from Unstructured Data Streams

Most of the Web of Data is limited to a large compendium of encyclopedic knowledge describing entities. The timely and massive extraction of RDF facts [...]

By |September 15th, 2015|Comments Off on Real-time RDF Extraction from Unstructured Data Streams

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 [...]

By |September 15th, 2015|Comments Off on Preserving Linked Data: Challenges and Opportunities