Hou, Yumeng2023-07-032023-07-032023-07-03202310.5281/zenodo.8107443https://infoscience.epfl.ch/handle/20.500.14299/198806This research, within the framework of computational archives, inspects a novel approach to representing intangible knowledge in traditional martial arts. The methodology presents a unity of ontological modeling, semantic annotation, and feature-based machine learning to display, (re-)interpret, and transmit embodied knowledge using multimodal digital archives.text::conference output::conference proceedings::conference paper