WRITE. Graffiti in Shanghai and Chengdu: Looking for Chinese writing, symbols and calligraphy along the streets. Dataset

Bisceglia, Marta R. ; Merenda, Martina (2025) WRITE. Graffiti in Shanghai and Chengdu: Looking for Chinese writing, symbols and calligraphy along the streets. Dataset. University of Bologna. DOI 10.6092/unibo/amsacta/8343. [Dataset]
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Abstract

The current dataset is associated with the Open Access publication “Graffiti in Shanghai and Chengdu: Looking for Chinese writing, symbols and calligraphy along the streets” (Kervan 2024, DOI https://doi.org/10.13135/1825-263X/11610). It collects the metadata descriptions of the main artworks analyzed in the publication as formalized in the “WRITE digital archive”, that is the semantic web digital archive of the WRITE project (G.A. 949645). Each file contains the metadata related not only to the artwork(s) itself, but also to its author(s), and Calli-Writing Unit(s) (CWU – artwork content unit with calligraphic features). The artworks were selected from works included in the archive as the most representative Chinese graffiti in Shanghai and Chengdu, using calligraphy and Chinese characters. The data, here provided in a machine-readable format, are already described in a discursive way in the related publication.

Abstract
Document type
Dataset
Creators
CreatorsORCIDAffiliationROR
Bisceglia, Marta R.0009-0003-5881-0962University of Bologna
Merenda, Martina0000-0002-7017-5936University of Bologna
Keywords
Chinese graffiti, graffiti, contemporary art, Chinese calligraphy, Shanghai graffiti, Chengdu graffiti
Subjects
DOI
Contributors
Name
ORCID
Type
Affiliation
Lučić, Katarina
Data manager
University of Bologna
Iezzi, Adriana
Supervisor
University of Bologna
Bisceglia, Marta R.
Contact person
University of Bologna
Deposit date
12 May 2025 07:36
Last modified
12 May 2025 07:36
Related identifier
Related identifier type
Relation type
Code
DOI
this upload is supplement to
Project name
WRITE - New Forms of Calligraphy in China: A Contemporary Culture Mirror
Funding program
EC - H2020
URI

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