HistKI: AI-based support of image source research and criticism

Overview
HistKI models the process of image research and criticism from the perspective of computer support and extends from a historical-scientific-methodological perspective the explanation models that have so far mostly been problem-related or infrastructural.
In all historical sciences, source criticism serves the purpose of classifying and analyzing a source from which interpretation and theory-building start. Beyond the specifics of the research question, some fundamental subproblems can be identified with regard to the subtype of visual source: Which objects are depicted in the images? How were image arrangements chosen? How do arrangements connote specific representational intentions? What are motif- or arrangement-like images (“visual quotations”)? To when do pictures date? What are the specific characteristics of an artist’s oeuvre as a producer of images?
Funding
Team
Publications
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"Towards Querying Multimodal Annotations Using Graphs"inWorkshop on research and education in urban history in the age of digital libraries,pp. 65-87,2023.
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"Giving Historical Photographs a New Perspective: Introducing Camera Orientation Parameters as New Metadata in a Large-Scale 4D Application"inRemote Sensing,vol. 15,no. 7,pp. 1879,2023.doi: 10.3390/rs15071879
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"Ein 4D-Browser für historische Fotografien-Forschungspotenziale für die Kunstgeschichte. Das Projekt HistStadt4D"inLandes- und Regionalgeschichte digital,pp. 106-114,2022.doi: 10.25366/2021.32
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"Multimodale KI zur unterstützung geschichtswissenschaftlicher quellenkritik-ein forschungsaufriss."inDHd,2022.
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"Exploring naming inventories for architectural elements for use in multi-modal machine learning applications"inWorkshop on computational methods in the humanities 2022,2022.


