<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The digitization of intangible cultural heritage provides the basis for its protection and inheritance. In this paper, we extracted the classes and interrelationships corresponding to each element for the content of Yi Intangible Cultural Heritage, constructed the data model and accomplished the relationship abstraction of different classes. Based on the structure of different data classes, the correlation between spatial change and non-heritage status is explored. The data model is proposed to cluster non-heritage data based on SWC-WMD distance, which improves the similarity calculation based on WMD distance. The association analysis of non-heritage item classes was performed using Yi folk dance as an example, and the overall non-heritage data was analyzed by clustering. In Yi folk dance, the association formed a network correlation graph with N2, N3, and N12 as the three main centers, in which the dance class items associated with N2, N3, and N12 were 9, 9, and 8, respectively. Mining out the relationships among NH items helps to better the overall NH protection.</p>
</abstract>

The digitization of intangible cultural heritage provides the basis for its protection and inheritance. In this paper, we extracted the classes and interrelationships corresponding to each element for the content of Yi Intangible Cultural Heritage, constructed the data model and accomplished the relationship abstraction of different classes. Based on the structure of different data classes, the correlation between spatial change and non-heritage status is explored. The data model is proposed to cluster non-heritage data based on SWC-WMD distance, which improves the similarity calculation based on WMD distance. The association analysis of non-heritage item classes was performed using Yi folk dance as an example, and the overall non-heritage data was analyzed by clustering. In Yi folk dance, the association formed a network correlation graph with N2, N3, and N12 as the three main centers, in which the dance class items associated with N2, N3, and N12 were 9, 9, and 8, respectively. Mining out the relationships among NH items helps to better the overall NH protection.

Strategies for Safeguarding Intangible Cultural Heritage of Yi Ethnic Groups in the Context of Informatization and Its Practice in Regional Culture

Guizhou University of Engineering Science

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The digitization of intangible cultural heritage provides the basis for its protection and inheritance. In this paper, we extracted the classes and...

Strategies for Safeguarding Intangible Cultural Heritage of Yi Ethnic Groups in the Context of Informatization and Its Practice in Regional Culture

Online veröffentlicht: 15. Nov. 2023

Seitenbereich: -

Eingereicht: 19. Jan. 2023

Akzeptiert: 26. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.01154

Schlüsselwörter
Data modeling, Relational abstraction, SWC-WMD distance, Yi non-heritage, Data clustering

© 2023 Dehua Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Strategies for Safeguarding Intangible Cultural Heritage of Yi Ethnic Groups in the Context of Informatization and Its Practice in Regional Culture

Online veröffentlicht: 15. Nov. 2023

Seitenbereich: -

Eingereicht: 19. Jan. 2023

Akzeptiert: 26. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.01154

SchlüsselwörterData modeling, Relational abstraction, SWC-WMD distance, Yi non-heritage, Data clustering

© 2023 Dehua Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Data modeling, Relational abstraction, SWC-WMD distance, Yi non-heritage, Data clustering