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Analysing Urban Dynamics in Historic Settlements Using a Geo-Spatial Infrastructure. The Venice’s Nissology project

Galeazzo, Ludovica (2022) Analysing Urban Dynamics in Historic Settlements Using a Geo-Spatial Infrastructure. The Venice’s Nissology project. Journal of Art Historiography (27s). ISSN 2042-4752

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URL of Published Version: https://arthistoriography.wordpress.com/27s-dec22/

Identification Number/DOI: https://doi.org/10.48352/uobxjah.00004202

Abstract

This paper presents the ERC StG project Venice’s Nissology (VeNiss), a semantic geo-spatial web infrastructure for reconstructing over five-centuries of transformations of Venice’s lagoon islands, alongside their interwoven relationships in a geographically- and temporally-based digital environment. VeNiss constitutes the first analytical methodology for investigating, interpreting, and visualising, through computational media, the connective dynamics of centre-periphery relations in historic settlements, with specific reference to archipelagoes. Through a transdisciplinary approach, which combines history, architecture, art history, social studies, and advanced digital technologies the research infrastructure enables the intersection of historical data with georeferenced maps, 2D reconstructions, and 3D interoperable models to express the urban processes that shaped the lagoon city from the sixteenth century.

Type of Work:Article
School/Faculty:Colleges (2008 onwards) > College of Arts & Law
Department:Department of Art History, Curating and Visual Studies
Additional Information:

This article is archived in ePapers for preservation purposes

Date:December 2022
Keywords:Venetian lagoon, Venetian islands, digital urban history, ERC project, semantic web technologies
Subjects:N Fine Arts > NX Arts in general
Copyright Status:Copyright for articles published in this journal is retained by the authors, with first publication rights granted to the journal. Authors may subsequently archive and publish the pdfs as produced by the journal. By virtue of their appearance in this open access journal, articles are free to use, with proper attribution, in educational and other non-commercial settings. Copyright restrictions apply to the use of any images contained within the articles. This work is licensed under a CC BY-NC 4.0 International License https://creativecommons.org/licenses/by-nc/4.0/
ID Code:4202
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