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...
Gardado en:
| Formato: | Online |
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| Idioma: | inglés |
| Publicado: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Subjects: | |
| Acceso en liña: | ONIX_20230202_9783036563268_144 |
| Tags: |
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| _version_ | 1869515909357371392 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-96743 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-967432024-03-30T12:51:22Z Big Data Analytics for Cultural Heritage Wallace, Manolis Poulopoulos, Vassilis Antoniou, Angeliki López-Nores, Martín 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 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. 2023-02-02T16:46:06Z 2023-02-02T16:46:06Z 2023 book ONIX_20230202_9783036563268_144 9783036563268 9783036563275 https://directory.doabooks.org/handle/20.500.12854/96743 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/6689 https://mdpi.com/books/pdfview/book/6689 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6327-5 10.3390/books978-3-0365-6327-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036563268 9783036563275 210 Basel open access |
| spellingShingle | 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 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 Big Data Analytics for Cultural Heritage |
| title | Big Data Analytics for Cultural Heritage |
| title_full | Big Data Analytics for Cultural Heritage |
| title_fullStr | Big Data Analytics for Cultural Heritage |
| title_full_unstemmed | Big Data Analytics for Cultural Heritage |
| title_short | Big Data Analytics for Cultural Heritage |
| title_sort | big data analytics for cultural heritage |
| topic | 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 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 |
| topic_facet | 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 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 |
| url | ONIX_20230202_9783036563268_144 |