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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Cleans a dataset by finding and correcting errors, removing duplicates and unwanted data.

From Excel File to RDF with Links to DBpedia and Europeana

This screencast is a step-by-step walk-through showing how to transform Excel tables to RDF data and then link that RDF data to external data sources. [...]

By |August 13th, 2015|0 Comments

Providing Linked Data

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

By |August 13th, 2015|0 Comments

Google Refine 2.0 – Data Transformation

Following up on the introductory video to Google Refine, this video focuses on data transformations. It shows how Google Refine can be used to transform [...]

By |August 13th, 2015|0 Comments

Google Refine 2.0 – Introduction

This video introduces Google Refine (now known as Open Refine), a free tool for working with messy data. Google Refine is a useful desktop application [...]

By |August 13th, 2015|0 Comments

DBpedia Spotlight Demonstration

This webinar describes DBpedia Spotlight, a tool for automatically annotating mentions of DBpedia resources in text. The tool provides a solution for linking unstructured information [...]

By |August 13th, 2015|0 Comments

A Complete Example of How to Link Data, Part 2

This video picks up where the introductory video left off, covering the first two steps in the Linked Data Pipeline. Google Refine is used to [...]

By |August 13th, 2015|0 Comments

Google Refine 2.0 – Data Augmentation

This tutorial shows how to use Google Refine (now Open Refine) to add value to your dataset by accessing other datasets. Examples use Open Street [...]

By |August 13th, 2015|0 Comments