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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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Format: Online
Sprache:Englisch
Veröffentlicht: MDPI - Multidisciplinary Digital Publishing Institute 2023
Schlagworte:
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
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
thema EDItEUR::U Computing and Information Technology::UY Computer science
Online-Zugang:ONIX_20230202_9783036563268_144
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Zusammenfassung: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.

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