A Preliminary Survey of Semantic Descriptive Model for Images
This addresses a domain-specific problem for researchers and art historians working with Ancient Chinese Paintings, but it is incremental as it builds on existing iconological theory.
The study tackled the lack of a unified framework for image description and deep cultural analysis in Ancient Chinese Paintings by developing a semantic model using the Beijing Palace Museum's collections, which was found effective for supporting art-related knowledge organization and cultural exploration.
Considering the lack of a unified framework for image description and deep cultural analysis at the subject level in the field of Ancient Chinese Paintings (ACP), this study utilized the Beijing Palace Museum's ACP collections to develop a semantic model integrating the iconological theory with a new workflow for term extraction and mapping. Our findings underscore the model's effectiveness. SDM can be used to support further art-related knowledge organization and cultural exploration of ACPs.