This website uses cookies to ensure you get the best experience. By clicking or navigating the site you agree to allow our collection of information through cookies. Check our Privacy policy.
A recent study from the Cultural AI Lab demonstrates that contentious terms about people and cultures occur frequently in datasets commonly used in the cultural sector. Andrei Nestorov tells us about the study, and shares reflections from the recent ‘AI and heritage’ conference in the Netherlands on how the sector can approach the issue.
Seeking to address one of the principles of the Enrichments Policy for the common European data space for cultural heritage, the Europeana Foundation R&D team has created a first version of a methodology for evaluating and validating the results of (automatic) enrichment efforts.
This webinar explores some of the ways that cultural heritage institutions can use controlled vocabularies and Linked Data to improve the discoverability of their content in Europeana.
Aggregating linked data has the potential to improve data interoperability at global scale. A linked data pilot, developed as part of the Europeana Common Culture project, has investigated this potential, and in this post we take a look at what it achieved.
This webinar introduces the Linked Open Data Aggregator (LODA). Speakers share their findings from working with Schema.org datasets from a number of institutions and transforming into Europeana Data Model (EDM).
Thanks to crowdsourcing, researchers, experts and cultural heritage professionals from across the globe can now add to RKDartists&, one of the largest art databases in the world. In this post, Edda Japing, Digitisation Process Coordinator at the RKD, tells us about the Artists4All app which makes this possible, and how crowdsourcing can be an important element in research.
