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SP-29: Cultural Heritage Data and Research in the AI Age
Time:
Thursday, 17/July/2025:
2:00pm - 3:30pm
Session Chair: Joana Vieira Paulino , Institute of Contemporary History, NOVA FCSH / IN2PAST
Location: B304 (TB) Zoom link to be included 64 places
Presentations
A "Cathedral of Digital Data". An Application for the Medieval Registers of Notre-Dame
Vincent Jolivet , Lucas Terriel
École des chartes, France
Thanks to its microservices architecture, the eNDP application is designed as an access point to all the medieval resources available on Notre-Dame de Paris. We aim to present a method for valorizing and editorializing resources scattered across different research data repositories repositories, which takes advantage of their open APIs.
Digital Mapping Tools for Australian History and Cultural Heritage
Catharine Coleborne1 , Penny Edmonds2 , Andrew May3 , Hugh Craig1 , Bill Pascoe3 , Paul Longley Arthur 4
1 University of Newcastle, Australia; 2 Flinders University, Australia; 3 University of Melbourne, Australia; 4 Edith Cowan University, Australia
This paper reports on the outcomes of experimental work by the team involved with the Time Layered Cultural map (TLCMap) project funded by two Australian Research Council Linkage Infrastructure, Equipment and Facilities grants. It underlines the potential for digital mapping and digital humanities methodologies in historical and cultural heritage research.
Ethnobotany of the Tambov Region According to Historical Sources: Aims, First Results, and Perspectives
Kira Kovalenko 1 , Tatiana Makhracheva2
1 European University at St. Petersburg, Russian Federation; 2 Tambov State University named after G.R. Derzhavin
The aim of the paper is to present the project “Ethnobotany of the Tambov region according to historical sources”. This is an ethnolinguistic and ethnobotanical study of the Tambov region traditional culture on the material of the lexical-semantic field “Plants”, with the use of the PhytoLex database.
Framework for AI-Driven Heritage Research at Silahtarağa Archive
Doruk Şen 1 , Amed Gökçen2,3 , Başak Koşanay2,4 , Ece Balkan2,5
1 Department of Industrial Engineering, Istanbul Bilgi University, Turkey; 2 Silahtarağa Archive, Istanbul Bilgi University, Turkey; 3 Institute for Area Studies, Leiden University, The Netherlands; 4 Department of Political Science, Istanbul Bilgi University, Turkey; 5 Department of Information and Document Management, Marmara University, Turkey
This paper presents a framework for AI-driven heritage research at Silahtarağa Archive, a repository of historical documents and maps related to Istanbul's urban development. The authors outline their approach to digitization, data preparation, and AI methodology, enabling researchers to analyze and explore the evolution of Istanbul's urban landscape.