Analyzing and Visualizing Uncertain Knowledge: The Use of TEI Annotations in the PROVIDEDH Open Science Platform
The underlying uncertainty in digital humanities research data affects decision-making and persists during a project’s lifecycle. This uncertainty is inevitable since most empirical claims cannot be assessed against an absolute truth (Drucker 2011; Binder et al. 2014). This situation has been previo...
Saved in:
| Main Authors: | Michał Kozak, Alejandro Rodríguez, Alejandro Benito-Santos, Roberto Therón, Michelle Doran, Amelie Dorn, Jennifer Edmond, Cezary Mazurek, Eveline Wandl-Vogt |
|---|---|
| Format: | Article |
| Language: | deu |
| Published: |
Text Encoding Initiative Consortium
2022-09-01
|
| Series: | Journal of the Text Encoding Initiative |
| Subjects: | |
| Online Access: | https://journals.openedition.org/jtei/4239 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A New Framework to Reduce Doctor’s Workload for Medical Image Annotation
by: Yang Deng, et al.
Published: (2019-01-01) -
Rebooting TEI Pointers
by: Hugh A. Cayless
Published: (2017-09-01) -
Enhancing Biomedical Semantic Annotations through a Knowledge Graph-Based Approach
by: Asim Abbas, et al.
Published: (2023-05-01) -
Annotation
by: Jan Horstmann, et al.
Published: (2023-05-01) -
Chimeric mis-annotations of genes remain pervasive in eukaryotic non-model organisms
by: Andreas Bachler, et al.
Published: (2025-07-01)