Big Data Analytics for Cultural Heritage

In this edition, we focused on big data analytics methods and tools that have been specifically developed for the domain of cultural heritage, as well as on experiences from the adaptation and/or application of general-purpose solutions in the domain of cultural heritage. The aim was to gather solut...

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Detalles Bibliográficos
Otros Autores: Wallace, Manolis, editor (editor), Poulopoulos, Vassilis, editor, Antoniou, Angeliki, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: [Place of publication not identified] : MDPI - Multidisciplinary Digital Publishing Institute 2023.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009720246006719
Descripción
Sumario:In this edition, we focused on big data analytics methods and tools that have been specifically developed for the domain of cultural heritage, as well as on experiences from the adaptation and/or application of general-purpose solutions in the domain of cultural heritage. The aim was to gather solutions, but also to summarise the lessons learnt, methodologies, and good practices that researchers and practitioners can use as a basis for their own work in the domain.
Descripción Física:1 online resource (210 pages)
ISBN:9783036563275