LEADER 02855nam 2200433 450 001 9910647230103321 005 20230323165946.0 010 $a3-0365-6327-X 035 $a(CKB)5680000000300044 035 $a(NjHacI)995680000000300044 035 $a(EXLCZ)995680000000300044 100 $a20230323d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBig Data Analytics for Cultural Heritage /$fby Manolis Wallace, Vassilis Poulopoulos, Angeliki Antoniou (editors) 210 1$a[Place of publication not identified] :$cMDPI - Multidisciplinary Digital Publishing Institute,$d2023. 215 $a1 online resource (210 pages) 311 $a3-0365-6326-1 327 $aAbout the Editors vii -- An Overview of Big Data Analytics for Cultural Heritage 1 -- A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems 3 -- Hydria: An Online Data Lake for Multi-Faceted Analytics in the Cultural Heritage Domain 25 -- Data-Assisted Persona Construction Using Social Media Data 53 -- A Personalized Heritage-Oriented Recommender System Based on Extended Cultural Tourist Typologies 67 -- ACUX Recommender: A Mobile Recommendation System for Multi-Profile Cultural Visitors Based on Visiting Preferences Classification 85 -- Big Data Analytics for Search Engine Optimization 97 -- Using Big and Open Data to Generate Content for an Educational Game to Increase Student Performance and Interest 119 -- Annotation-Assisted Clustering of Player Profiles in Cultural Games: A Case for Tensor Analytics in Julia 139 -- Networks and Stories. Analyzing the Transmission of the Feminist Intangible Cultural Heritage on Twitter 163 -- Digital Technologies and the Role of Data in Cultural Heritage: The Past, the Present, and the Future 181. 330 $aIn 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. 606 $aData mining 606 $aManagement$xData processing 606 $aBig data 615 0$aData mining. 615 0$aManagement$xData processing. 615 0$aBig data. 676 $a658/.05631 702 $aWallace$b Manolis 702 $aPoulopoulos$b Vassilis 702 $aAntoniou$b Angeliki 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910647230103321 996 $aBig Data Analytics for Cultural Heritage$93017830 997 $aUNINA