Management and Optimization of Unstructured Resources in Music Colleges From the Perspective of Big Data

Based on the overall background of smart campus construction, this paper analyzes the application and characteristics of unstructured resources in music and art colleges and discusses the construction needs and design framework of unstructured resource management and application in music and art colleges. Aiming at the relatively fixed document type of e-learning teaching system, a metadata extraction template is formulated, which encapsulates the metadata in unstructured files and the information in the database in the template. Through the parsing of XML language, the direct reading of files is realized, which simplifies the data entry in the e-learning teaching system. Compared with the previous data system, it improves the access efficiency and greatly facilitates the management. Integrating traditional retrieval technology with big data management technology can not only realize the data integrity, transaction management, security, and fault tolerance of traditional database management technology, but also save manpower and improve the efficiency of teaching management.

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Publication Details

Journal
International Journal of e-Collaboration
Published
2025-09-09
DOI
https://doi.org/10.4018/ijec.388554
Primary Topic
AI and Multimedia in Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Management and Optimization of Unstructured Resources in Music Colleges From the Perspective of Big Data

Yi Ding
International Journal of e-Collaboration
AI and Multimedia in Education
article

Management and Optimization of Unstructured Resources in Music Colleges From the Perspective of Big Data

Yi Ding
article en

Abstract

Based on the overall background of smart campus construction, this paper analyzes the application and characteristics of unstructured resources in music and art colleges and discusses the construction needs and design framework of unstructured resource management and application in music and art colleges. Aiming at the relatively fixed document type of e-learning teaching system, a metadata extraction template is formulated, which encapsulates the metadata in unstructured files and the information in the database in the template. Through the parsing of XML language, the direct reading of files is realized, which simplifies the data entry in the e-learning teaching system. Compared with the previous data system, it improves the access efficiency and greatly facilitates the management. Integrating traditional retrieval technology with big data management technology can not only realize the data integrity, transaction management, security, and fault tolerance of traditional database management technology, but also save manpower and improve the efficiency of teaching management.

International Journal of e-CollaborationVol. 21(1)
Tianjin Vocational Institute (CN)
Openalex Percentile: Top 87%
AI and Multimedia in Education
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Management and Optimization of Unstructured Resources in Music Colleges From the Perspective of Big Data — Yi Ding · International Journal of e-Collaboration (2025) | TGRS Research Map | TGRS