What question did this study set out to answer?

To establish a cultural translation framework combining digital twins and knowledge graphs that integrates geometric perception and semantic reasoning for multi-ethnic mural heritage.

August 16, 2026Advanced ElectromagneticsOpen Access

Cultural Translation Methods of Multi-Ethnic Mural Heritage Based on Digital Twins and Knowledge Graphs

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Authors

FSF. SunYan'an University LWL. WangYan'an University

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Implication

Computational study demonstrates high-accuracy ethnic style recognition in murals using digital twins and knowledge graphs, suggesting improved intelligent cultural heritage preservation.

Key Points

To establish a cultural translation framework combining digital twins and knowledge graphs that integrates geometric perception and semantic reasoning for multi-ethnic mural heritage.
Processed multi-view 3D point clouds with PointNet++ to perform semantic segmentation of ethnic mural styles.
Employed Graph Attention Networks (GAT) and Cross-modal Contrastive Learning (CCL) to align visual and semantic features in a unified embedding space.
Integrated dynamic physical parameters from a digital twin into a Relational Graph Convolutional Network (R-GCN) to generate structured cultural translation assertions.
Achieved ethnic style recognition accuracies of 88.45% for Tibetan, 86.70% for Mongolian, and 94.35% for Uyghur murals.
Outperformed baseline methods in 3D semantic segmentation and cross-modal visual-semantic alignment tasks.

Cite This Study

Sun et al. (2026) studied this question.

synapsesocial.com/papers/6a8179bcf2fb91fc834ad01b https://doi.org/10.7716/aem.v15i3.3483

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Implication

Computational study demonstrates high-accuracy ethnic style recognition in murals using digital twins and knowledge graphs, suggesting improved intelligent cultural heritage preservation.

Cultural Translation Methods of Multi-Ethnic Mural Heritage Based on Digital Twins and Knowledge Graphs

Discussion

Member takes

Implication

Key Points

Cite This Study

Cultural Translation Methods of Multi-Ethnic Mural Heritage Based on Digital Twins and Knowledge Graphs

Discussion

Member takes

Implication

Key Points

Cite This Study

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