The project ‘Heraldic Identity in Context’ takes a comparative approach to explore how identities were conveyed through heraldic communication in the Kingdom of France and the Holy Roman Empire in the Middle Ages and the Early Modern Period. The project is based on a broad spectrum of heraldic sources and particularly examines how the position of the individual in relation to and within different groups can be better understood through heraldic sources.
The research on heraldic sources is to be freed from outdated scientific approaches, whose methods and hypotheses have so far limited or distorted access to these rich sources.
Based on a verified corpus of heraldic data and a digital, collaborative platform (the Digital Heraldry Research Environment) the project offers innovative methodological approaches to analysing heraldic communication. In particular, the project uses specially developed ontologies to describe heraldic devices in different contexts and media, thus enabling new perspectives on the interactions between individual and collective identity in heraldic communication.
How did coats of arms function as markers of identity for individuals and groups? How did heraldic practices differ between the Kingdom of France and the Holy Roman Empire from the 12th to the 16th century? HERALDIC addresses these questions by examining how heraldic signs expressed social belonging, political positioning, and familial relationships, and how the interplay between individual and collective identity shaped heraldic communication across different regions and media.
HERALDIC takes a data-driven approach, combining formal ontologies, a knowledge graph, and AI-assisted annotation tools. The project integrates data from established databases — including ARMMA (monumental heraldry), SIGILLA (seals), and DEVISE (aristocratic emblems) — into the DHRE platform, where they can be searched, analysed, and enriched using controlled multilingual vocabularies. Computer vision tools (CREST) support semi-automatic annotation of heraldic elements on images, while the modular, open-source infrastructure ensures long-term sustainability and interoperability.
The project is organised around three interconnected task groups:
Digital History
Humboldt-Universität zu Berlin
Emblématique occidentale
École Pratique des hautes Études
Saprat
École Pratique des hautes Études
Digital History
Humboldt-Universität zu Berlin
Saprat
École Pratique des hautes Études
Digital History
Humboldt-Universität zu Berlin
Digital History
Humboldt-Universität zu Berlin
SIGILLA is a database of seals preserved in French archives, coordinated since 2012 at the École Pratique des Hautes Études (EPHE-PSL) by Laurent Hablot. It currently contains approximately X coats of arms drawn from seals and serves as a key resource for sigillographic heraldry research. The participatory SigiAl project (Sigillographie de l'Alsace), a regional branch of SIGILLA, extends coverage to the Alsace border region. Within HERALDIC, the SIGILLA data are being integrated into the DHRE platform, and the corpus is being expanded through new seal collection campaigns in France and abroad.
ARMMA (Armoiries et Monuments du Moyen Âge) is a database dedicated to monumental heraldic decorations, coordinated by Matteo Ferrari since 2014 at the École Pratique des Hautes Études (EPHE-PSL). It documents coats of arms found on architectural monuments across France and Italy, currently containing approximately 2,270 entries covering about 3,000 inventoried coats of arms. Within HERALDIC, the data from ARMMA are being integrated into the DHRE platform and enriched with new sources from monumental heritage, including heraldic ceiling paintings and decorations in communal Italy.
The CREST annotation tool, developed since 2023 at Humboldt-Universität zu Berlin in collaboration with tapdo technologies, uses state-of-the-art computer vision to semi-automatically annotate specific heraldic elements (e.g. lions, eagles) on images of coats of arms, facilitating data integration into the Knowledge Graph. Within HERALDIC, CREST is being more deeply integrated into the DHRE platform, with the goal of enabling users to upload images of sources containing coats of arms and receive automatic heraldic description suggestions based on the ontology. Approaches under evaluation include the Segment Anything Model (SAM), image-similarity methods, and multimodal Large Language Models.
The Digital Heraldry Knowledge Graph, developed since 2020 at Humboldt-Universität zu Berlin, consists of four formal ontologies designed to (1) describe heraldic data with a controlled multilingual vocabulary, (2) assign them to a person or group, (3) describe their material carrier and context, and (4) communicate their presentation context and visual relationships. Currently containing approximately 80,000 representations of coats of arms, including images from digitised manuscripts integrated via IIIF. The Knowledge Graph serves as the central data infrastructure for the HERALDIC project. Within HERALDIC, it is being extended with new ontology modules for seals, wall paintings, and the differentiated description of persons, groups, and other entities bearing coats of arms.
The Digital Heraldry Research Environment (DHRE) is a web application developed since 2020 at Humboldt-Universität zu Berlin. It provides users with accessible ways to interact with the Digital Heraldry Knowledge Graph, offering a faceted search for finding coats of arms by their heraldic elements and a user interface for adding and editing data based on the controlled vocabulary of the ontology. Within HERALDIC, the DHRE is being extended with improved data entry, optimised search functionality, geo-localisation of heraldic media, and deeper integration of AI-assisted annotation tools.
Humboldt-Universität zu Berlin
Departement of History
University Chair for Digital History
Unter den Linden 6
10099 Berlin