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Opening Ottoman Miniature Collections Through Computational Access: Methodological Lessons for Digital Humanities Cover

Opening Ottoman Miniature Collections Through Computational Access: Methodological Lessons for Digital Humanities

Open Access
|Nov 2025

Figures & Tables

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Figure 1

Tagging interface.2

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Figure 2

“A Segment of Shopkeepers Passing Through Atmaipazar Square during the Circumcision Feast of Murad III’s Son” (şehinşehnâme, Topkapı Palace Library, attributed to Seyid Lokman).

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Figure 3

Thematic structures through co-occurrence analysis.

Table 1

Accuracy results of the supervised learning process for training and validation sets.

STAGETRAINING ACCURACYVALIDATION ACCURACY
Initial (Epoch 1)30.5%43.0%
Middle (Epoch 5)57.6%47.6%
Final (Epoch 10)62.5%48.8%
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Figure 4

Accuracy and loss values during supervised learning training.

Table 2

Performance metrics for the unsupervised learning process.

METRICDESCRIPTIONBEST RESULT
Silhouette scoreIntra-cluster similarity vs. inter-cluster difference0.247
Davies–Bouldin indexCluster separation quality2.39
Calinski–HarabaszCluster distinction strength117.5
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Figure 5

t-SNE visualization of clusters obtained in the unsupervised process.

DOI: https://doi.org/10.5334/johd.381 | Journal eISSN: 2059-481X
Language: English
Submitted on: Aug 25, 2025
Accepted on: Sep 11, 2025
Published on: Nov 6, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Esra Cansu Çan Beton, Zehra Taşkın, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.