[1]滕腾.中国传统音乐知识图谱建构研究[J].集美大学学报(哲社版),2024,27(01):75-83.
　TENG Teng.Research on the Construction of Traditional Chinese Music Knowledge Graph[J].philosophy&social sciences,2024,27(01):75-83.
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中国传统音乐知识图谱建构研究(PDF)

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《集美大学学报》（哲社版）[ISSN:1006-6977/CN:61-1281/TN]

Title:: Research on the Construction of Traditional Chinese Music Knowledge Graph

Author(s):: TENG Teng; Music College, Jimei University, Xiamen 361021, China

Keywords:: knowledge graph; traditional Chinese music; thesaurus management; CiteSpace; Graphviz

摘要:: 大数据时代，数据数量与种类越来越多，数据之间的关系越来越复杂，数据的应用场景也从传统的统计分析，到现在基于大数据的机器学习、知识图谱等。数据的深度挖掘使用、数据对业务的促进、数据在行业运营等方面均发挥着越来越重要的作用。因此，本研究通过对传统音乐的元数据标注与叙词管理，叙词关系案例阐释，并借助CiteSpace、Graphviz软件对传统音乐进行引文可视化和图结构分析。希望通过挖掘海量传统音乐文献数据背后隐含的知识和技术信息、文献之间关联信息，即“知识图谱”，研究分析传统音乐学科发展趋势，洞见传统音乐学术社交网络与全球视野下其深层规律与动态，以此促进传统音乐的学术生态发展。

Abstract:: In the era of big data, the amount and the type of data are increasing, and the relationships between data are becoming more and more complex. The application scenarios of data have also changed from traditional statistical analysis to machine learning and knowledge graphs based on big data. The in-depth mining and use of data are playing an increasingly important role in all aspects of industry operations. By using metadata annotation and thesaurus management of traditional music, the paper explains the thesaurus relationship cases, and employs CiteSpace and Graphviz software to conduct citation visualization and graph structure analysis of traditional music. It is hoped that by mining the implicit knowledge and technical information behind the massive traditional music literature data, as well as the associated information between documents, a “knowledge graph” can be constructed to research and analyze the development trends and predictions of traditional music disciplines, and to gain insights into the deep rules and dynamics of traditional music academic social networks and global perspectives, thereby to promote the development of the academic ecology of traditional music.

[1]张雯,李勇泉.我国近20年区域旅游发展研究的知识图谱分析——基于CSSCI 1995—2015年数据[J].集美大学学报(哲社版),2018,21(01):36.
　ZHANG Wen,LI Yong-quan.Mapping Knowledge Analysis of Regional Tourism Development over the Twenty Years——Based on CSSCI from 1995 to 2015[J].philosophy&social sciences,2018,21(01):36.
[2]张立君,吴江秋.基于WoS和Citespace的企业家社会资本知识图谱分析[J].集美大学学报(哲社版),2021,24(04):59.
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更新日期/Last Update: 2024-04-15