1. WuMKG: a Chinese painting and calligraphy multimodal knowledge graph
- Author
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Jing Wan, Hao Zhang, Jun Zou, Ao Zou, Yubin Chen, Qingyang Zeng, Xinrong Li, and Qiya Wang
- Subjects
Multimodal knowledge graph ,Chinese painting and calligraphy ,Digital humanities ,Fine Arts ,Analytical chemistry ,QD71-142 - Abstract
Abstract Chinese Painting and Calligraphy (ChP&C) holds significant cultural value, representing integral aspects of both Chinese culture and global art. A considerable amount of ChP&C works are dispersed worldwide. With the emergence of digital humanities, a vast collection of cultural artifacts data is now available online. However, the online databases of these artifacts remain decentralized and diverse, posing significant challenges to their effective organization and utilization. Addressing this, our paper focuses on the Wu Men School of Painting and proposes a framework for constructing a multimodal knowledge graph for the ChP&C domain. We construct the domain ontology by analyzing the ChP&C knowledge schema. Then, we acquire knowledge from diverse data sources, including textual and visual information. To enhance data collection around collecting historical context and subject matter, we propose methods for seal extraction and subject extraction specific to ChP&C. We validate the effectiveness of these methods on the constructed dataset. Finally, we construct the Wu Men Multimodal Knowledge Graph (WuMKG) and implement applications such as cross-modal retrieval, knowledge-based question-answering and visualization.
- Published
- 2024
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