Semantic TEI - Semantic Text Publishing as Open Research Data

Semantic TEI Project has improved the potential for open research data practices in the field of digital editions and other humanities specialisations dealing with text. It has worked with the de-facto standard for scholarly text – the Text Encoding Initiative (TEI) – to create a data model that allows researchers to publish their textual data in the context of the Semantic Web. This permits the data that digital editions create to be published as Linked Open Data – resources on the web that can be referenced by others for the purposes of enrichment. This capability allows research data in the humanities to become more connected where datasets can be leveraged in the process of exploration that generates new research, and as part of reference resources for scholars.

The data model has been published and can be accessed here: https://zellij.pythonanywhere.com/docs/list/appsyBKDmummlKLOr?flag=0 and here (as part of the AAAo ontology): https://ontome.net/namespace/120

The project has also developed a data transformation pipeline which will be published in the coming weeks.

Semantic TEI project was conducted with the USI as the leading house, Dr Elena Chestnova having been the main responsible grantee. The partnership included the Swiss Art Research Infrastructure at the University of Zurich, gta Digital at the ETH Zurich, Walter Benjamin Kolleg at the University of Bern, the Swiss National Centre for Data and Services in the Humanities, and the Academy of Sciences and Literature in Mainz. The work was funded by Swissuniversities in addition to own contributions of participating institutions.