<div class="csl-bib-body">
<div class="csl-entry">Pérez-Messina, I., & Kitamoto, A. (2025, November 2). <i>Kokatsuji: A Visualization Approach for Typographic Forensics of Early Japanese Movable Type</i> [Conference Presentation]. IEEE VIS 2025, Wien, Austria. https://doi.org/10.34726/11413</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/221466
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dc.identifier.uri
https://doi.org/10.34726/11413
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dc.description.abstract
We present a visualization system designed to support typographic forensics in the study of Kokatsuji, the short-lived tradition of Japanese movable wooden type printing. Building on recent advances in machine learning for block identification, our system provides expert users with an interactive tool for exploring, validating hypothesis, and integrating expert knowledge into model-generated results about the production process of early printed books. The system is structured around an ontology of four conceptual objects (spreads, segments, blocks, and characters) each corresponding to a dedicated view in the system. These coordinated views enable scholars to navigate between material evidence and computational abstractions, supporting close, near-by, and distant reading practices. Preliminary results from expert use of the system demonstrate its ability to reveal errors in segmentation, inconsistencies in clustering, and previously inaccessible patterns of block reuse.
en
dc.description.sponsorship
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
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dc.language.iso
en
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Japanese history
en
dc.subject
Digital Humanities
en
dc.subject
Information Visualization
en
dc.title
Kokatsuji: A Visualization Approach for Typographic Forensics of Early Japanese Movable Type
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.identifier.doi
10.34726/11413
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dc.contributor.affiliation
National Institute of Informatics, Japan
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dc.relation.grantno
ICT19-47
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dc.type.category
Conference Presentation
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tuw.project.title
Guidance-Enriched Visual Analytics for Temporal Data
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tuw.researchTopic.id
I5
-
tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.value
100
-
tuw.publication.orgunit
E193-07 - Forschungsbereich Visual Analytics
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tuw.author.orcid
0009-0006-4440-9977
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tuw.author.orcid
0000-0002-1517-7795
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dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
tuw.event.name
IEEE VIS 2025
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tuw.event.startdate
02-11-2025
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tuw.event.enddate
07-11-2025
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Wien
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tuw.event.country
AT
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tuw.event.institution
IEEE
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tuw.event.presenter
Pérez-Messina, Ignacio
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dc.relation.ispreviousversionof
10.48550/arXiv.2508.15995
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tuw.event.track
Multi Track
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.value
100
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item.openairecristype
http://purl.org/coar/resource_type/c_18cp
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item.cerifentitytype
Publications
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item.openairetype
conference paper not in proceedings
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item.fulltext
with Fulltext
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item.mimetype
application/pdf
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item.languageiso639-1
en
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item.grantfulltext
open
-
item.openaccessfulltext
Open Access
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crisitem.author.dept
E193-07 - Forschungsbereich Visual Analytics
-
crisitem.author.dept
National Institute of Informatics, Japan
-
crisitem.author.orcid
0009-0006-4440-9977
-
crisitem.author.orcid
0000-0002-1517-7795
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
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crisitem.project.funder
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
