A Shape Expression approach for assessing the quality of Linked Open Data in libraries

Autor: Gustavo Candela, María Pilar Escobar Esteban, María Dolores Sáez Fernández, Manuel Marco Such
Přispěvatelé: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos, Lucentia, Transducens
Rok vydání: 2022
Předmět:
Zdroj: RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
ISSN: 2210-4968
1570-0844
2020-1125
DOI: 10.3233/sw-210441
Popis: Cultural heritage institutions are exploring Semantic Web technologies to publish and enrich their catalogues. Several initiatives, such as Labs, are based on the creative and innovative reuse of the materials published by cultural heritage institutions. In this way, quality has become a crucial aspect to identify and reuse a dataset for research. In this article, we propose a methodology to create Shape Expressions definitions in order to validate LOD datasets published by libraries. The methodology was then applied to four use cases based on datasets published by relevant institutions. It intends to encourage institutions to use ShEx to validate LOD datasets as well as to promote the reuse of LOD, made openly available by libraries. This research has been funded by the AETHER-UA (PID2020-112540RB-C43) Project from the Spanish Ministry of Science and Innovation.
Databáze: OpenAIRE