DARIAH-DE is the German contribution to the EU-ESFRI-Project DARIAH-EU. The mission of DARIAH is to enhance and support digitally-enabled research across the arts and humanities. DARIAH aims to develop and maintain an infrastructure in support of research practices based on information and communication technology - so called virtual research environments.
The Ubiquitous Knowledge Processing Lab is involved in the work package 5.3 "Big Data in Humanities", which evaluates big data techniques for their applicability in humanities.
The contribution of work package 5 to the DARIAH-DE project is the evaluation of big data techniques and big data principles for humanities. The Ubiquitous Knowledge Processing Lab is involded in a use case for the work package 5.3 together with researchers from the University of Würzburg. In the use case, techniques are developed, that automatically detect and analyze narrative structures in German. These techniques are applied to a corpus of around 2000 novels, which were written over the last centuries.
Existing methods from the field of natural language processing are evaluated and new methods are developed to meet the special requirements of detecting narrative structures in novels. Approaches are likely to include methods to detect named entities in novels as well as sentiment analysis for the different characters appearing in a novel.
The project is funded by the German Ministry of Education and Research (BMBF).