Back to Search
Start Over
The Innovation of Mongolian Folk Song Music Cultural Inheritance Path Based on Intelligent Computing Analysis of Communication Big Data.
- Source :
- Security & Communication Networks; 4/11/2022, p1-13, 13p
- Publication Year :
- 2022
-
Abstract
- Cultural inheritance and innovation is an important measure to enhance the vitality of traditional culture and realize the sharing of national culture. Mongolian folk music, as an important part of Chinese cultural resources, plays an irreplaceable role in inheriting Mongolian culture. How to better inherit the music culture of ethnic minorities has been a hot topic in the music education circle in recent years. However, when we focus on the campus inheritance of ethnic minority music, we have to pay attention to the original living space of ethnic minority music and its unique local inheritance method. What is the relationship between them? What are the similarities and differences? The investigation of the relationship between the two is an indispensable content for exploring the inheritance of minority music. This paper aims to study the innovation of the inheritance path of Mongolian folk song music culture, endow Mongolian folk song music with a new era connotation in the new era, and let the folk song music culture be inherited and revitalized in the in-depth contact with the masses. This paper proposes a method to study user needs with the help of dissemination big data, identify malicious traffic with the help of the Internet of Things, find the most touching music and cultural elements of users, innovate and integrate the Mongolian nation, avoid malicious traffic from invading Mongolian folk songs, and enhance the attractiveness of Mongolian folk songs. Experiments have shown that Mongolian folk songs have a strong appeal, and the participation rate of young people in Mongolian folk songs has increased by 20%. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 19390114
- Database :
- Complementary Index
- Journal :
- Security & Communication Networks
- Publication Type :
- Academic Journal
- Accession number :
- 156248060
- Full Text :
- https://doi.org/10.1155/2022/5752751