AI for digitized cultural heritage
The ongoing mass-digitization of documents by libraries fuels the future promise of having the cultural heritage of the world available online, digitally, for everyone to enjoy and (re-)use. But there are numerous technical challenges remaining to be solved before the potential of digitized cultural heritage can be fully leveraged.
This talk will outline the R&D activities in the area of document analysis and recognition conducted by the SBB-PK in the Qurator project with their main goals and challenges, AI methods applied and experiments conducted alongside with initial findings and results.
Clemens Neudecker (@cneudecker) studied Philosophy, Computer Science and Political Sciences at LMU Munich. He has been working in R&D at various Digital Libraries, including the Bavarian State Library, National Library of the Netherlands and currently the Berlin State Library. His main interests are Document Analysis, Natural Language Processing and the Digital Humanities.