In the era of big data,the amount and the type of data are increasing,and the relationships between data are be-coming more and more complex.The application scenarios of data have also changed from traditional statistical analysis to ma-chine learning and knowledge graphs based on big data.The in-depth mining and use of data are playing an increasingly impor-tant 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 in-sights 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.
knowledge graphtraditional Chinese musicthesaurus managementCiteSpaceGraphviz
维普
万方数据
