Opportunities and challenges in enhancing access to metadata of cultural heritage collections: a survey
Abstract Machine processable data that narrate digital/non-digital resources are termed as
metadata. Different metadata standards exist for describing various types of digital objects …
metadata. Different metadata standards exist for describing various types of digital objects …
Automatic enrichments with controlled vocabularies in Europeana: Challenges and consequences
Automatic enrichment of metadata is one option for digital libraries to add multilingual terms
to their resources. Adding links to external vocabularies further contextualizes the metadata …
to their resources. Adding links to external vocabularies further contextualizes the metadata …
WITH: human-computer collaboration for data annotation and enrichment
A Chortaras, A Christaki, N Drosopoulos… - … Proceedings of the The …, 2018 - dl.acm.org
The transformation that has been accomplished in Cultural Heritage (CH) during the last
decades has resulted in the production of vast amounts of content from many different …
decades has resulted in the production of vast amounts of content from many different …
Access Beyond Borders: Linked Open Data Applications on Cultural Heritage
S Akça - New Review of Information Networking, 2022 - Taylor & Francis
The main mission of cultural memory institutions is to protect their collections and to provide
access to a wider audience. World Wide Web technology offers different tools to fulfill this …
access to a wider audience. World Wide Web technology offers different tools to fulfill this …
A novel vision for navigation and enrichment in cultural heritage collections
In the cultural heritage domain, there is a huge interest in utilizing semantic web technology
and build services enabling users to query, explore and access the vast body of cultural …
and build services enabling users to query, explore and access the vast body of cultural …
Recalibrating machine learning for social biases: demonstrating a new methodology through a case study classifying gender biases in archival documentation
LJ Havens - 2024 - era.ed.ac.uk
This thesis proposes a recalibration of Machine Learning for social biases to minimize
harms from existing approaches and practices in the field. Prioritizing quality over quantity …
harms from existing approaches and practices in the field. Prioritizing quality over quantity …