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Big Data Analytics for Cultural Heritage

dc.contributor.editorWallace, Manolis
dc.contributor.editorPoulopoulos, Vassilis
dc.contributor.editorAntoniou, Angeliki
dc.contributor.editorLópez-Nores, Martín
dc.date.accessioned2023-02-02T16:46:06Z
dc.date.available2023-02-02T16:46:06Z
dc.date.issued2023
dc.identifierONIX_20230202_9783036563268_144
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/96743
dc.description.abstractIn 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industriesen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer scienceen_US
dc.subject.othercultural analytics
dc.subject.othercultural data
dc.subject.othersearch engine optimization
dc.subject.otherSEO strategy
dc.subject.otherSEO factors
dc.subject.otherbig data
dc.subject.otherwebsites visibility
dc.subject.otherpredictive modeling
dc.subject.otherwebsite security
dc.subject.otherwebsite load speed
dc.subject.otheruser behavior
dc.subject.otherintelligent interaction
dc.subject.othersemantics
dc.subject.otherusability
dc.subject.othermixed reality
dc.subject.othercultural experience
dc.subject.othercultural heritage
dc.subject.otherbig data management
dc.subject.otherdata lake
dc.subject.otherdata store
dc.subject.otheranalytics and visualization
dc.subject.otheropen source
dc.subject.othercultural tourism
dc.subject.othertypology
dc.subject.otherpersonalization
dc.subject.otheruser experience
dc.subject.otherrecommender systems
dc.subject.othercollaborative filtering
dc.subject.otherhybrid matrix factorization
dc.subject.otherpersona
dc.subject.otheruser interface design
dc.subject.othertopic modelling
dc.subject.othercultural events
dc.subject.otheropen data
dc.subject.othergame-based learning
dc.subject.othereducation
dc.subject.othergeography
dc.subject.otherboard games
dc.subject.othermonopoly
dc.subject.othergamification
dc.subject.othercultural gaming
dc.subject.othercultural heritage preservation
dc.subject.otherplayer annotations
dc.subject.otherdata enrichment
dc.subject.otherBartle taxonomy
dc.subject.otherSimon–Ando clustering
dc.subject.othertensor algebra
dc.subject.othermultilinear distance
dc.subject.otherJulia
dc.subject.otherfeminism
dc.subject.otherhashtivism
dc.subject.otherTwitter
dc.subject.othersocial network analysis
dc.subject.otherMachine Learning
dc.subject.otherculture
dc.subject.othercultural informatics
dc.subject.othermuseum informatics
dc.subject.othermixed environment
dc.subject.othersocial media
dc.subject.othermobile tourist guide
dc.subject.otherprofile classification
dc.subject.otheruser interface
dc.subject.othercultural destinations
dc.subject.otherpersonalized suggestions
dc.subject.othern/a
dc.titleBig Data Analytics for Cultural Heritage
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-6327-5
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036563268
oapen.relation.isbn9783036563275
oapen.pages210
oapen.place.publicationBasel


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