Linked Data for Digital Humanities

Introduction

The following tutorial was made for the Introduction to Digital Humanities course at VU. AFter this module you should have a) gained understanding of the conceptual model behind Linked Data; b) have some practical training in how you can convert your data into Open Linked Data and c) practiced how you can query Open Linked Data using SPARQL

Slides and Videos

Below you find four videos you can watch as preparation for the sessions on monday. The slide deck is also available as PDF LD_for_DH_Visualisingthehumanities_2020.pdf

1. Introduction into Linked Data: this video introduces the ideas and promises of Linked Data. You will learn about RDF, URIs, triples and  graphs to represent data, information and knowledge. 

2. Introduction to Turtle: Turtle is a machine-readable syntax for RDF. Now you can actually write triples!

3. Producing triples using OpenRefine and RDF-extension. This tutorial shows you the basics of generating RDF from tabular data. The slides for this can be found here

– The slides for this part in PDF format Convert-your-data-to-Linked-Data-with-OpenRefineDownload
– The practice csv file imf_gdppcDownload

4. Querying linked data using SPARQL: The SPARQL protocol is a query language that allows you to investigate and analyse RDF datasets

5. The Dutch Ships and Sailors case study and hands on session. Here we give a real-world example and point you to a hands-on session you can with SPARQL.  The Hands on session can be found here: http://www.victordeboer.com/dss_sparql_handson/

After this, you can consider doing the Hands-on with GraphDB/SPARQL tutorial. where you can practice:

  • Download and install GraphDB
  • Get some interesting data in CSV
  • Convert to triples using OntoRefine
  • Find potential links in DBPedia
  • Integrate your data with external data using SPARQL
  • Try out interesting SPARQL queries

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