2017 · 16 citations · 3 references
ManagementKnowledge ManagementPerforming ArtsKnowledge CaptureKnowledge CreationKnowledge RepresentationDance EthnographyDance NotationKnowledge AcquisitionKnowledge ModelingOntology EngineeringCultural Heritage KnowledgeDance ArchivesDance DocumentationDance Notation SystemsHeritage OntologiesKnowledge EngineeringTacit Knowledge ExtractionValuable Knowledge
Southeast Asia’s rapid growth and rich cultural resources highlight the need to preserve intangible heritage such as traditional dances, yet challenges like declining masters, unreliable sources, and low quality threaten knowledge transmission, prompting the use of Labanotation to capture and analyze dance movements. The study proposes a framework to archive traditional Thai dance by building an ontology with knowledge engineering, converting Labanotation scores into 3D animation. It constructs an ontology that maps Labanotation notation to 3D animation models, facilitating structured storage and retrieval. The framework facilitates communication among dancers, notators, knowledge engineers, and software engineers.
Southeast Asia is one of the most rapidly growing regions in the world with natural and cultural resources. It is important to pass on the cultural knowledge to the next generation. Intangible Cultural Heritage like traditional dances, or folk dance is a valuable cultural knowledge to be maintained and passed on by transferring tacit knowledge, and even explicit knowledge such as books, or video presentations. Issues of passing on the knowledge can be the loss of knowledge from time to time by the reduction of the number of dance masters, unreliable sources, and low quality. To retrieve such valuable knowledge, there is a widely-used tool in Europe, in the United States, Asia and Southeast Asia, called “Labanotation” which is about recording and analyzing the dance movement. This paper focuses on proposing a framework for a traditional Thai dance knowledge archive creating an ontology using knowledge engineering based on Labanotation by transferring notation scores to represent the dance in 3D Animation. The framework assists dancers, notators, knowledge engineers, software engineers to successfully communicate with each other.
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