An Ontological Approach for Unlocking the Colonial Archive
Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10045/133988
Título: | An Ontological Approach for Unlocking the Colonial Archive |
---|---|
Autor/es: | Candela, Gustavo | Pereda, Javier | Sáez Fernández, María Dolores | Escobar Esteban, María Pilar | Sánchez, Alexander | Villa Torres, Andrés | Palacios, Albert A. | McDonough, Kelly | Murrieta-Flores, Patricia |
Grupo/s de investigación o GITE: | Lucentia |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Palabras clave: | Linked open data | Metadata | Collections as data | Knowledge graph |
Fecha de publicación: | 28-abr-2023 |
Editor: | ACM |
Cita bibliográfica: | Journal on Computing and Cultural Heritage. 2023, 16(4): Article 74. https://doi.org/10.1145/3594727 |
Resumen: | Cultural Heritage institutions have been exploring new ways of making available their catalogues in digital format. Recently, new approaches have emerged as methods to reuse and make available the contents for computational purposes. This work introduces a methodology to transform digital collections into Linked Open Data following best practices. The framework has been applied to Indigenous and Spanish colonial archives based on the collection Relaciones Geográficas of Mexico and Guatemala provided by the LLILAS Benson Latin American Studies and Collections. The results of this work are publicly available. This work aims at encouraging Cultural Heritage institutions to publish and reuse their digital collections using advanced methods and techniques. |
Patrocinador/es: | This research has been supported by UKRI AHRC/NEH Project AH/V009559/1, "Unlocking Colonial Archive: Harnessing Artificial Intelligence for Spanish American Historical Collections". |
URI: | http://hdl.handle.net/10045/133988 |
ISSN: | 1556-4673 |
DOI: | 10.1145/3594727 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1145/3594727 |
Aparece en las colecciones: | INV - LUCENTIA - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Candela_etal_2023_JComputCultHerit.pdf | 8,43 MB | Adobe PDF | Abrir Vista previa | |
Todos los documentos en RUA están protegidos por derechos de autor. Algunos derechos reservados.