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Big Data Analytics for Cultural Heritage
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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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Keywords
- analytics and visualization
- Bartle taxonomy
- big data
- big data management
- Board games
- collaborative filtering
- Computer science
- Computing & information technology
- cultural analytics
- cultural data
- cultural destinations
- cultural events
- cultural experience
- cultural gaming
- cultural heritage
- cultural heritage preservation
- cultural informatics
- cultural tourism
- Culture
- data enrichment
- data lake
- data store
- Economics, finance, business & management
- Education
- Feminism
- game-based learning
- Gamification
- Geography
- hashtivism
- hybrid matrix factorization
- Industry & industrial studies
- Information technology industries
- intelligent interaction
- Julia
- Machine learning
- Media, information & communication industries
- mixed environment
- mixed reality
- mobile tourist guide
- monopoly
- multilinear distance
- museum informatics
- n/a
- open data
- open source
- Persona
- personalization
- personalized suggestions
- player annotations
- predictive modeling
- profile classification
- recommender systems
- search engine optimization
- Semantics
- SEO factors
- SEO strategy
- Simon–Ando clustering
- Social media
- Social network analysis
- tensor algebra
- topic modelling
- typology
- usability
- user behavior
- User Experience
- user interface
- user interface design
- website load speed
- website security
- websites visibility
Links
DOI: 10.3390/books978-3-0365-6327-5Editions