Thesaurus and Ontology Construction for Contra Dance: Knowledge Organization of a North American Folk Dance Domain

Coladangelo, L.P.

doi:10.5771/0943-7444-2020-7-523

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…However, the model is also accepted outside the library community, including for intangible cultural heritage. For example, a case study (Coladangelo 2020) aims to preserve and disseminate cultural heritage information about the North American community folk dance tradition of contra dance through the development of a thesaurus of choreographic terms, Contra Dance Thesaurus, and a domain ontology named Contra ontology.…”

Section: Data Content Standardsmentioning

confidence: 99%

Information and Documentation Perspective to Intangible Cultural Heritage in the Context of Digital Humanities Research

Zlodi

2023

Studia Ethnologica Croatica

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This paper presents the critical role of digital humanities methods in safeguarding, research, and revitalisation of intangible cultural heritage. The study explores digitisation methods through a documentation and data management perspective, advocating for data standards that facilitate data interoperability at structure, content, value, and encoding levels. This paper critically analyses existing data standards and conceptual reference models, considering their potential and limitations for documenting and representing intangible cultural heritage. The typology of entities and processes related to intangible cultural heritage is presented and elaborated. Mapping identified entities and processes to individual classes in the CIDOC-CRM model is discussed to support the publication of data and semantic interoperability in the Semantic Web context.

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Section: Data Content Standardsmentioning

confidence: 99%

Information and Documentation Perspective to Intangible Cultural Heritage in the Context of Digital Humanities Research

Zlodi

2023

Studia Ethnologica Croatica

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“…Therefore, it is important to validate and reveal the challenges and opportunities in the dissemination of the art of varnish and to propose appropriate conservation measures. Literature [20] attempts to safeguard an intangible cultural heritage by applying knowledge organization and semantic approaches to folk dances in order to model this challenge as multiple, simultaneous representations of forms and representations of forms, modular conceptual components, descriptive sequences, structured information at different levels, and complex cultural networks found in different levels of domain discourse.…”

Section: Related Researchmentioning

confidence: 99%

Research on the Digital Preservation of Intangible Cultural Heritage of Folk Dance Art Category

Wang

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, based on the rapid head generation technique of the model library, we obtain a frontal 2D face photo, mark 13 feature points selected from 7 parts, such as both eyes, nose, mouth, etc., to determine the approximate position of the whole facial features, simulate the real color of the face according to the texture mapping of the face, and at the same time, we add the texture features of the target face in the to the matching model, to achieve the mapping of overlaying texture to the neutral texture and the fusion of skin color. Using HigherHRNet network extraction to obtain the coordinate information of the joint points of the intangible cultural heritage dance inheritors and their heat maps, the obtained key frames of the dance features are connected in a certain order to obtain the synthesized folk dance video with gesture estimation. Combining semantic segmentation of keyframes and style rendering, the visual image of the dance is designed, and the intangible cultural heritage of folk dance is analyzed through examples. The results show that this paper’s method achieves more than 90% recognition accuracy on all three datasets and more than 94.8% recognition accuracy on the folk dance movement dataset. On the evaluation of folk dance movements, the average distance calculated by this paper’s algorithm is the largest, 95.7, and the average score is the lowest, 43.6. The average distance and average score of this paper’s algorithm are in between the above two cases, i.e., the experimental results verify the effectiveness of this paper’s method. This study promotes the intelligent protection and creative inheritance of Chinese non-heritage dances through digital protection.

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“…Modern dance has distinctive characteristics, tolerance, and open-mindedness of thought and emotion [1]. Creating modern dance requires choosing and determining a good direction, creating a dance script, choreographing dance music and designing movements, and discovering errors in multiple rehearsals to perfect them and make them more perfect [2][3]. When choreographing a modern dance, it is necessary to follow the established creative ideas but also have the courage to try a variety of structural creations in order to create a more compelling, more ornamental value as well as artistic value of the dance works [4].…”

Section: Introductorymentioning

confidence: 99%

Research on Dynamic Tracking and Choreographic Techniques of Modern Dance Based on Computer 3D Modeling Technology

Hao

2024

Applied Mathematics and Nonlinear Sciences

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In this paper, we propose an improved 3D modeling method based on RecurDyn dynamics Theory to address the poor efficiency of traditional modeling techniques in dance dynamics tracking. Solid manipulation of the virtual scene is realized by geometric transformation, and singular value decomposition is applied to solve the transformation. Simulation experiments were designed to explore the tracking effect. When the MS moves at a more significant speed, the larger the Doppler frequency corresponding to the dynamic tracking and choreography technique of modern dance, the more rapidly the channel changes, and the more quickly the channel correlation decreases, such as when the MS moves at a speed of 13m/s and the correlation coefficient drops to 0.1, which corresponds to the number of sampling points within 6. From the Analysis of the ablation experiments, the errors of the three models are reduced by 9.6%, 11.2%, and 5.9%, respectively. From the first qualitative test analysis, frames 1-13 should be less spatial and 14-24 should be more spatial. From the Analysis of the first qualitative test, according to the numerical value, the average moving speed of the arm in the 53rd-68th frames is the largest, and the average moving speed of the arm in the 87th-100th frames is the smallest. Therefore, the improved algorithm can be accurately applied to modern dance dynamic tracking and choreography techniques.

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Thesaurus and Ontology Construction for Contra Dance: Knowledge Organization of a North American Folk Dance Domain

Cited by 4 publications

References 2 publications

Information and Documentation Perspective to Intangible Cultural Heritage in the Context of Digital Humanities Research

Information and Documentation Perspective to Intangible Cultural Heritage in the Context of Digital Humanities Research

Research on the Digital Preservation of Intangible Cultural Heritage of Folk Dance Art Category

Research on Dynamic Tracking and Choreographic Techniques of Modern Dance Based on Computer 3D Modeling Technology

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