Publication

Co-encoding embodied knowledge in Southern Chinese martial arts: a collaboration between computists, experts, and digital models

Yumeng Hou
2023
Conference Papers

Abstract

This 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.

Official source

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Co-encoding embodied knowledge in Southern Chinese martial arts: a collaboration between computists, experts, and digital models

Chat with Graph Search

Ontology-based Knowledge Representation for Traditional Martial Arts

EncodingActs: Modeling, Representing and Transmitting Embodied Knowledge in Traditional Martial Arts

Touch and Closeness in Naturally Organized Activities