Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 29th Sept 2025, 04:56:12pm WEST
SP-38: Knowledge Graphs, Open Data and Quantitative Analysis for Art Datasets
Time:
Thursday, 17/July/2025:
4:00pm - 5:30pm
Session Chair: Suzanne Mpouli , Université Paris Cité
Location: Aud C1 (EC) Zoom link to be included 142 places
Presentations
Triplet Extraction from Art-historical Texts for Knowledge Graph Creation
Julian Stalter 1 , Matthias Springstein 2 , Max Kristen1 , Eric Müller-Budack2 , Stefanie Schneider1 , Elias Entrup2 , Hubertus Kohle1 , Ralph Ewerth2
1 Ludwig-Maximilians-Universität München, Germany; 2 Leibniz-Informationszentrum Technik und Naturwissenschaften, Hannover, Germany
This paper focuses on improving art-historical image search engines by combining Vision-language Models (VLMs) with knowledge graphs. The approach intends to enhance the interpretability and accuracy of search results by using triplets extracted from domain-specific knowledge with generative models. Providing this information to the user thus also increases the transparency of AI methods.
L’art public sous la loupe des citoyen·ne·s : modeler une interface pour la recherche avec les données MONA
Camila De Oliveira Savoi 1,2 , Lena Krause 1,2 , Corélie Godefroid1,2 , Simon Janssen1,2 , Barbara Marche2
1 Université de Montréal, Canada; 2 Maison MONA, Canada
Cette communication présente une interface de recherche pour étudier la réception de l'art public au Québec avec les données générées par les utilisateur·rice·s de l'application MONA. L’outil développé optimise l'exploration et l’analyse des expériences artistiques recueillies pour contribuer de nouvelles perspectives sur l'interaction citoyenne avec l'art public.
An analysis of symbolic associations in the Arts based on open data
Sofia Baroncini 1 , Bruno Sartini2 , Marilena Daquino3
1 Leibniz Institute of European History (IEG), Mainz, Germany; 2 Ludwig-Maximilians-Universität (LMU), Munich, Germany; 3 University of Bologna, Italy
In this study, we leverage two open datasets, respectively representing a dictionary of art symbols and scholars’ interpretations of ca. 400 artworks, to analyse how symbols and meanings vary in the art history hermeneutic discourse. Results show that the majority of scholar’s interpretations that could be aligned use conventional symbolism.
Semi/automated methods for digitising bomb damage from historical maps of the 2nd world war
S. Alvanides 1 , A. Bauch1 , C.M. Enss1 , K. Stein1 , C. Ludwig2
1 Otto-Friedrich-Universität Bamberg, Germany; 2 Universität des Saarlandes, Germany
Our contribution examines methods for capturing spatial information from historical thematic maps depicting level of destruction during the second world war, focusing on the German city of Nuremberg (Nürnberg) . We demonstrate three ways of capturing information from historical thematic maps, ranging from manual to semi-automated methods.
The Romance Genre from 1910 to 1949 and the Place of Women Screenwriters: A Quantitative Analysis
Suzanne Mpouli
Université Paris Cité, France
Using freely available data, this presentation tries to characterise the romance genre in the first half of the 20th century and to map the part women screenwriters played in its evolution.
