Digital Heraldry is a research project in the field of Digital History, adopting methods from computer science to enhance research in historical studies.
Coats of arms were the most common visual medium of the Middle Ages and Early Modern times. They could mark and communicate territorial dominion, societal rank as well as family or other group identity. They interconnected individual persons, social groups, dominions and artefacts. Coats of arms appeared in handwritten medieval manuscripts and official documents as well on wall paintings, carvings, stained glass and seals. They could either be displayed as images or as accurate textual descriptions. Thereby coats of arms acted as a fundamental medium of medieval and ealry modern communication. It’s study is essential in widening our understanding of cultures and societies on the European continent in the premodern era.
Nevertheless coats of arms have been mostly overlooked or even ignored in their relevance by historiographic research. This seems inevitable, considering the reasons for this: Firstly, the historian is confronted with a vast amount of coats of arms. Secondly, the places were coats of arms can be found, as well as their contexts of usage are very different and heterogenous. And finally, heraldry in itself, with its rules of design and its quais-semiotic system adds an additional layer of complexity to coats of arms as a historic source.
The project Digital Heraldry aims to adress these shortcomings by connecting historical research questions, competences in historical auxillary sciences and methods from computer science. The goal is, firstly, to collect digitized historical sources as unstructured data (in the form of images and texts) and secondly enabling the semi-automatical description and identification of coats of arms. To achieve this, methods of Machine Learning and Semantic Web Technologies are being used.
In doing so, the project is not only working on enhancing historical and cultural studies, but also utilizes it’s unique and extensive material to further develope methods of computer science.
Digital Heraldry is coordinated by the university chair of Digital History at the Humboldt-University of Berlin.
Digital History
Humboldt University of Berlin
Digital History
Humboldt University of Berlin
Digital History
Humboldt University of Berlin
Computer Vision and Machine Learning
University of Münster
Computer Vision and Machine Learning
University of Münster
Paper Digital Heraldry. The State of the Art and New Approaches Based on Semantic Web Technologies in L’édition en ligne de documents d’archives médiévaux (edited by Christelle Balouzat-Loubet).
Conference presentation Friends with Benefits: Wie Deep-Learning basierte Bildanalyse und kulturhistorische Heraldik voneinander profitieren on the DHd2020 Paderborn, March 2th - 6th.
Humboldt-Universität zu Berlin
Departement of History
University Chair for Digital History
Unter den Linden 6
10099 Berlin