
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
This dataset contains the SPARQL queries presented and discussed in our article published in Digital Medievalist 2022 (as a PDF file), together with the results of those queries as CSV files. The query and step numbering follows that given in the article. The queries can be run against the SPARQL endpoint for the Mapping Manuscript Migrations project: https://ldf.fi/mmm/sparql The full Mapping Manuscript Migrations dataset can also be downloaded from the Zenodo repository and installed in your own triple store: https://zenodo.org/record/4440464 When copying and pasting these SPARQL queries into a SPARQL client like YASGUI, please check that the line numbering has been copied over correctly. Copying from a PDF file can sometimes break a single long line into multiple separate lines, which will cause a SPARQL validation error. The CSV files contain the results of the queries when run against the Mapping Manuscript Migrations SPARQL endpoint as of 17 December 2021. Please note that Query 2, Step 2, produces no results, so a CSV file has not been provided. The Mapping Manuscript Migrations portal can be found at https://mappingmanuscriptmigrations.org/en/ SPARQL tutorials are included in the project's GitHub documentation: https://mapping-manuscript-migrations.github.io/
Funded by the Trans-Atlantic Platform Digging into Data Challenge through the Economic and Social Research Council (UK), the Institute of Museum and Library Services (US), the Academy of Finland, and the Agence nationale de recherche (France).
Knowledge graphs, SPARQL query language, Medieval and Renaissance manuscripts, Linked Open Data
Knowledge graphs, SPARQL query language, Medieval and Renaissance manuscripts, Linked Open Data
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
views | 20 | |
downloads | 12 |