Linked Open Data für die Literaturgeschichtsschreibung – Das Projekt Mining and Modeling Text

Lecture in the context of DHd 2022

Logo DHd 2022

Date:

10.03.2022

Place:

via Zoom

17:30 – 22:00 Uhr

Categories:

Conference

Presentation by Maria Hinzmann, Christof Schöch, Katharina Dietz, Anne Klee, Katharina Erler-Fridgen, Julia Röttgermann and Moritz Steffes

Presentation by Maria Hinzmann, Christof Schöch, Katharina Dietz, Anne Klee, Katharina Erler-Fridgen, Julia Röttgermann and Moritz Steffes

In dealing with the ever-growing 'digital cultural heritage', the further development of systematic data development and knowledge representation offers previously unexploited potential for literary historiography. Against this background, quantitative methods of information extraction ('mining') and data modelling ('modelling') are interlinked in the project 'Mining and Modelling Text' (MiMoText) in order to build up an information system for literary history. Transferability into other domains is taken into account. The central concern is to further develop the field of quantitative methods for extracting, modelling and analysing information relevant to the humanities from extensive text collections and to research it from an interdisciplinary (humanities, computer science and law) perspective.


Keywords: Linked Open Data, Text Mining