Please join us Tuesday September 6, 2022 from 3 pm – 4:30 in DML 240 to learn about tools that can be used to transform historical maps into research data using machine learning.
Katie McDonough from the Turing Institute at the British Library and Valeria Vitale from the University of Sheffield will be presenting an overview on machine learning and map text annotation tools to explore the potential of this workflow to generate data and metadata for and from digitized historical maps. Use cases will focus on National Library of Scotland’s Ordnance Survey Maps and Library of Congress’s Sanborn Fire Insurance Maps and will include an example of using these tools for crowdsourcing.
Maps constitute a significant body of global cultural heritage, and the number of maps available digitally is quickly growing. However, insufficient metadata often make specific maps hard to find, and the content of many collections remains opaque.
Machines Reading Maps an NEH/AHRC-funded project team from the Turing Institute at the British Library, University of Minnesota, and the University of Southern California will demonstrate how Machine Learning and the Semantic Web technologies can be used to create data that makes cartographic collections more accessible.
The presentation will be hybrid with a Zoom component. Please register for a Zoom link and additional information. https://forms.gle/D62d7vwqMWbB5SRcA
Date/Time
September 06, 2022 @ 3:00 pm - 4:30 pm
