Introducing the Tripartite Digitization Model for Engaging with the Intangible Cultural Heritage of the City

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceeding

Abstract

In this paper we investigate the notion of intangible cultural heritage as a driver for smart city learning applications. To this end, we shortly explore the notion of intangible heritage before presenting the tripartite digitization model that was originally developed for indigenous cultural heritage but can equally be applied to the smart city context. We then discuss parts of the model making use of a specific case study aiming at re-creating places in the city.
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In this paper we investigate the notion of intangible cultural heritage as a driver for smart city learning applications. To this end, we shortly explore the notion of intangible heritage before presenting the tripartite digitization model that was originally developed for indigenous cultural heritage but can equally be applied to the smart city context. We then discuss parts of the model making use of a specific case study aiming at re-creating places in the city.
Original languageEnglish
Title of host publicationInteractivity, Game Creation, Design, Learning, and Innovation : 5th International Conference, ArtsIT 2016, and First International Conference, DLI 2016, Esbjerg, Denmark, May 2–3, 2016, Proceedings
Number of pages8
PublisherSpringer
Publication date2017
Pages297-304
ISBN (Print)978-3-319-55833-2
ISBN (Electronic)978-3-319-55834-9
DOI
StatePublished - 2017
Publication categoryResearch
Peer-reviewedYes
Event5th EAI International Conference: ArtsIT, Interactivity & Game Creation - Esbjerg, Denmark
Duration: 2 May 20163 May 2016

Conference

Conference5th EAI International Conference: ArtsIT, Interactivity & Game Creation
LandDenmark
ByEsbjerg
Periode02/05/201603/05/2016
SeriesLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume196
ISSN1867-8211

    Research areas

  • smart city learning, Tripartite digitization model, Intangible Cultural Heritage

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ID: 265502959