Affiliation:
1. Departamento de Lenguajes y Sistemas Informáticos University of Alicante Alacant Spain
Abstract
AbstractIn recent years, cultural heritage institutions have been exploring the benefits of applying Linked Open Data to their catalogs and digital materials. Innovative and creative methods have emerged to publish and reuse digital contents to promote computational access, such as the concepts of Labs and Collections as Data. Data quality has become a requirement for researchers and training methods based on artificial intelligence and machine learning. This article explores how the quality of Linked Open Data made available by cultural heritage institutions can be automatically assessed. The results obtained can be useful for other institutions who wish to publish and assess their collections.
Subject
Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems
Reference47 articles.
1. Association of Research Libraries. (2019).ARL white paper on Wikidata. Opportunities and Recommendations.https://www.arl.org/wp-content/uploads/2019/04/2019.04.18-ARL-white-paper-on-Wikidata.pdf
2. Bahnemann G. Carroll M. Clough P. Einaudi M. Ewing C. Mixter J. Roy J. Tomren H. Washburn B. &Williams E.(2021).Transforming Metadata into linked data to improve digital collection discoverability: A CONTENTdm pilot project.https://doi.org/10.25333/fzcv-0851
3. The Semantic Web
4. British Library. (2011).The British National Bibliography published as linked open data.https://bnb.data.bl.uk/
5. Candela G.(2023).Towards a semantic approach in GLAM labs: The case of the data foundry at the national library of Scotland. CoRR abs/2301.11182.https://doi.org/10.48550/arXiv.2301.11182
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