The Inheritance and Future Development Direction Prediction of Opera Culture Based on Cloud Communication under the Background of Big Data

Yang, Yibo; Lei, Ting

doi:10.1155/2022/1910766

Cited by 6 publications

(3 citation statements)

References 20 publications

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“…As the core force to promote a new round of scientific and technological reform and industrial revolution, big data has penetrated and deeply influenced the innovation, production in the field of humanities and social sciences, and enhanced the processing capacity of human culture-related data [3,4]. It has spawned a new direction of cultural industry research [5,6]. Therefore, in the past decade, the relevant technologies, methods, and data of big data technology have had an important impact on the research of traditional humanities and social sciences.…”

Section: Introductionmentioning

confidence: 99%

Cultural Cognition and Analytical Methods of Chinese and Korean Envoys in Ming Dynasty Based on Big Data Analysis Technology

Wang

Tang

2022

Advances in Multimedia

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During the Ming Dynasty, China and Korea exchanged frequently and recorded a large amount of written information, which is of great value for understanding the culture of that time. The large amount of data makes it difficult to conduct quantitative analysis by researchers, which makes the analysis limited. This paper carries out a research on the cognition and analysis method of Chinese and Korean envoys to foreign cultures in Ming Dynasty based on big data analysis technology. Based on the literature research, this paper determines the ontology model establishment method to efficiently detect the written records of Chinese and Korean envoys in Ming Dynasty. The established ontology model and the improved clustering analysis method can improve the efficiency of data detection, reduce the error of data detection, and provide data basis for the research of this paper. According to the technology of big data analysis, this paper analyzes the focus and status class of Chinese and Korean envoys in Ming Dynasty and analyzes cognition of the Chinese and Korean envoys for the foreign culture. The results show that the envoys of the Chinese and Korean pay different attention to the foreign culture due to their different cognition of the foreign culture, compared with Ming Dynasty envoys, Korean envoys paid 15.3 percent less attention to geography, 19.7 percent more to history, 11.7 percent more to people, and 16 percent less to customs. This reflects the two envoys’ different perceptions of the foreign culture. And the status class of the envoys exacerbates this difference. In the early Ming Dynasty, the creative diversity of Ming envoys was far lower than that of Korean envoys. As time went by, the creative diversity of Ming envoys increased. The results provide support for further understanding of Chinese and Korean culture and their relationship in Ming Dynasty.

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Section: Introductionmentioning

confidence: 99%

Cultural Cognition and Analytical Methods of Chinese and Korean Envoys in Ming Dynasty Based on Big Data Analysis Technology

Wang

Tang

2022

Advances in Multimedia

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“…In the design of the integration and sharing of educational resources, a new teaching level evaluation model is adopted to integrate students' evaluation into their daily life and learning. This promotes the design and research of the integration and sharing of educational resources (Yang & Lei, 2022). Teachers should analyze the strengths and weaknesses of students, teach students in accordance with their aptitude in the teaching process, carry out personalized education for students, and improve the teaching effect by fostering strengths and avoiding weaknesses.…”

Section: Educational Resource Integration and Sharing Designmentioning

confidence: 99%

Rational Planning of Educational Resources Based on Big Data Fusion

Han

2023

International Journal of Web-Based Learning and Teaching Technologies

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The education system in China's education industry has been undergoing continuous reform. The current educational resources integration and sharing system is inefficient and needs a lot of time to find resources, which greatly affects the efficiency of education. The integration and sharing of educational resources have become unavoidable problems in teaching. In order to solve this problem, this paper takes the rational planning of educational resources as the research object, analyzes the problems faced by the integration and sharing of educational resources, discusses the main direction of the integration and sharing of educational resources, designs the integration and sharing system of educational resources based on big data fusion, compares it with the traditional ant colony algorithm and cloud computing teaching resources integration and sharing system, and analyzes the performance and efficiency of this system. The educational resources integration and sharing system designed in this paper is closer to the ideal value and has stronger integration and sharing ability.

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“…With the continuous development and application of big data technology, more studies have begun combining big data with traditional culture [9]. For example, literature [10] pointed out that digitalization, intelligence, networking and other directions will play an increasingly important role in the inheritance and development of opera culture while introducing the application of relevant technologies in preserving and propagating opera culture and discussing some of the current problems. The literature [11] proposes a diversified communication model in the era of big data, using the Internet and social media, etc., to promote and creatively market opera culture.…”

Section: Introductionmentioning

confidence: 99%

Big Data Algorithm and Zhejiang Opera Culture Gene Mapping

Hao,

Xi,

Xia

et al. 2023

Applied Mathematics and Nonlinear Sciences

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This paper proposes the design of the Zhejiang opera culture gene map using the Zhejiang opera culture gene and gene map. Secondly, it focuses on the application of data mining algorithms in managing opera culture resources, including indexing and querying of dissemination track data and mining Zhejiang opera culture data resources. Finally, the application effect of data mining in Zhejiang opera culture gene mapping is demonstrated through an example analysis. The results show that for the multi-valued attribute dataset of trajectory data of Zhejiang opera culture, the execution time of the optimized algorithm is reduced by 848 ms under a 1% support rate and 88 ms under a 10% support rate compared with the Apriori algorithm. This paper reveals the inner connections and characteristics of Zhejiang opera culture through a data mining algorithm for cultural gene mapping, providing a scientific basis.

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The Inheritance and Future Development Direction Prediction of Opera Culture Based on Cloud Communication under the Background of Big Data

Cited by 6 publications

References 20 publications

Cultural Cognition and Analytical Methods of Chinese and Korean Envoys in Ming Dynasty Based on Big Data Analysis Technology

Cultural Cognition and Analytical Methods of Chinese and Korean Envoys in Ming Dynasty Based on Big Data Analysis Technology

Rational Planning of Educational Resources Based on Big Data Fusion

Big Data Algorithm and Zhejiang Opera Culture Gene Mapping

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