| dc.contributor.author | Fafinski, Mateusz | |
| dc.contributor.author | Piotrowski, Michael | |
| dc.contributor.editor | Reussner, Ralf H. | |
| dc.contributor.editor | Koziolek, Anne | |
| dc.contributor.editor | Heinrich, Robert | |
| dc.date.accessioned | 2021-01-27T13:33:22Z | |
| dc.date.available | 2021-01-27T13:33:22Z | |
| dc.date.issued | 2021 | |
| dc.identifier.isbn | 978-3-88579-701-2 | |
| dc.identifier.issn | 1617-5468 | |
| dc.identifier.uri | http://dl.gi.de/handle/20.500.12116/34713 | |
| dc.description.abstract | The project An Agile Approach Towards Computational Modeling of Historiographical Uncertainty is building a taxonomy of historiographical uncertainty. We are focusing on early medieval texts as our case studies, because they are characterised by a high degree of “high stakes” uncertainty and a varied historiography characterised by a vivid debate. The additional factor of the manuscript text-transmission ensues that also the material aspect of the textual study will be covered in our attempt to build an adaptable taxonomy of historiographical uncertainty. Computational humanities need a robust methodological platform, that can be applied to a wide variety of projects. Uncertainty in general and geographical uncertainty in particular stand as the crucial aspects of this platform. We investigate a methodology of visualising geographical locales in historical texts and their historiographies that explicitly models uncertainty in. | en |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik, Bonn | |
| dc.relation.ispartof | INFORMATIK 2020 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-307 | |
| dc.subject | uncertainty | |
| dc.subject | mapping | |
| dc.subject | historiography | |
| dc.subject | medieval history | |
| dc.title | Modelling Medieval Vagueness | en |
| mci.reference.pages | 1317-1326 | |
| mci.conference.sessiontitle | Methoden und Anwendungen der Computational Humanities | |
| mci.conference.location | Karlsruhe | |
| mci.conference.date | 28. September - 2. Oktober 2020 | |
| dc.identifier.doi | 10.18420/inf2020_123 | |