SPARQLing Ogham Stones: New Options for Analyzing Analog Editions by Digitization in Wikidata

Abstract

Linked Open Data (LOD) should be the standard for the modeling and publication of research data, as it greatly improves the research process by facilitating access and reducing the likelihood of mistakes. To encourage our readers to create LOD, we have developed a workflow for the enrichment of datasets taken from analog and digital sources by interlinking and publishing them in Wikidata. This paper will discuss the main principles of LOD, as well as current attitudes towards it in the digital humanities. Our vision for LOD has lead us to create SPARQL Unicorn, a series of tools designed to make Wikidata easier to use. As an example of SPARQL Unicorn in action, the second half of our paper will describe the Wikidata integration of the inscriptions found on the early medieval Ogham stones. Sources, workflow, tools, and data models will be explained in detail, as two examples of (geo-) statistical analysis showcase the benefits of enriched LOD to researchers.

Information

Graph Technologies in the Humanities - Proceedings 2020 (GRAPH 2020), Vienna, Austria, February 21-22, 2020.
Edited by: Tara Andrews, Franziska Diehr, Thomas Efer, Andreas Kuczera, Joris van Zundert
Submitted by: Franziska Diehr
Published on CEUR-WS: 20-Mar-2022
ONLINE: http://ceur-ws.org/Vol-3110/
URN: urn:nbn:de:0074-3110-2
ARCHIVE: http://sunsite.informatik.rwth-aachen.de/ftp/pub/publications/CEUR-WS/Vol-3110.zip