Notebook requirements

Statistical analysis Data Stories with historical maps HTML papers, ideally exportable as PDF Online collaboration Helpers for pagination

Our approach

Stick to single components Focus on most important features And the most wanted extras

Overview

• LD Wizard: Wouter Beek
• Notebooks: Benny Markovitch

Wouter Beek

Stap 1: Uploaden

Stap 2: Configureren

Stap 3: Publiceren

LD transformatie

LD transformatie tools

• Voorbeelden: CoW, RML, RATT, R2ML
• Ontkoppeling van de afhenkelijkheid op de ontwikkelaar
• Maar vereisen nog steeds LD kennis.

LD Wizard

https://ldwizard.netwerkdigitaalerfgoed.nl

Voorbeeld van gebruik

Notebooks

Benny Markovitch

What's the purpose of notebooks?

• Connect data to statistical analysis software
• Help with querying large (n >10,000) datasets in their entirety

I will show:

• The SPARQL method, in which SPARQL queries are written in R itself
• The URL method, in which R is connected to an existing query on triplyDB
• Both will be shown using Google Colab notebooks

Links to notebooks:

• SPARQL method
• URL method