Researchers have developed VisTCP, a novel visualization framework designed to create knowledge-graph-based representations of Traditional Chinese Paintings (TCPs). This framework aims to enhance the semantic understanding of these artworks for archaeological and art history research by combining a TCP-oriented intelligent model with expert knowledge. VisTCP allows art historians to generate trustworthy structured representations in a human-in-the-loop manner, visualizing model uncertainty and enabling iterative optimization through expert feedback. AI
IMPACT This framework could improve AI's ability to interpret and analyze historical art, aiding researchers in art history and archaeology.
RANK_REASON The item is an academic paper describing a new framework for knowledge representation in a specific domain. [lever_c_demoted from research: ic=1 ai=1.0]
- alphaXiv
- arXiv
- CatalyzeX
- DagsHub
- Gotit.pub
- Hugging Face
- human–computer interaction
- ScienceCast
- Traditional Chinese Painting Classification Based on Painting Techniques
- Transmission Control Protocol
- VisTCP
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