Big Data Analytics for Cultural Heritage

• Outros Autores: Wallace, Manolis (Editor), Poulopoulos, Vassilis (Editor), Antoniou, Angeliki (Editor), López-Nores, Martín (Editor)
• Formato: Recurso Electrónico Capítulo de Livro
• Idioma: inglês
• Publicado em: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Assuntos: Information technology industries; Computer science; cultural analytics; cultural data; search engine optimization; SEO strategy; SEO factors; big data; websites visibility; predictive modeling; website security; website load speed; user behavior; intelligent interaction; semantics; usability; mixed reality; cultural experience; cultural heritage; big data management; data lake; data store; analytics and visualization; open source; cultural tourism; typology; personalization; user experience; recommender systems; collaborative filtering; hybrid matrix factorization; persona; user interface design; topic modelling; cultural events; open data; game-based learning; education; geography; board games; monopoly; gamification; cultural gaming; cultural heritage preservation; player annotations; data enrichment; Bartle taxonomy; Simon-Ando clustering; tensor algebra; multilinear distance; Julia; feminism; hashtivism; Twitter; social network analysis; Machine Learning; culture; cultural informatics; museum informatics; mixed environment; social media; mobile tourist guide; profile classification; user interface; cultural destinations; personalized suggestions; n/a
• Acesso em linha: DOAB: download the publication; DOAB: description of the publication

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...