Abstract
Cataloguing is a frequent bottleneck in the digitisation of analogue images as it is impossible to scale the necessary content-related knowledge. As this paper discusses, however, it is possible to use well-trained artificial intelligence to semi-automate metadata enhancement for photographic collections. The paper describes a study in which participants indexed historical collections of photographs. In a subsequent interdisciplinary project with contributions from cultural anthropologists, computer scientists, digital humanities researchers and art historians, these descriptions and indexes were then used to train machine-learning components. With this interdisciplinary approach, it is hoped that cataloguing practices can be enhanced, generating new insights into AI and semantic metadata.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call