图书馆杂志

图书馆杂志 ›› 2023, Vol. 42 ›› Issue (386): 113-120.

• 数字人文 • 上一篇    下一篇

数字化保护与传承视域下民族器乐文化智能应用服务系统构建

刘清堂 尹兴翰 吴林静 涂凤娇 陈 亮(华中师范大学人工智能教育学部)   

  • 出版日期:2023-06-15 发布日期:2023-07-04
  • 作者简介:刘清堂 华中师范大学人工智能教育学部,副部长,教授,博士研究生导师。研究方向:数字化学习、知识服务。作者贡献:确定选题、提出研究思路和框架、论文修改。E-mail:liuqtang@mail.ccnu.edu.cn 湖北武汉430072 尹兴翰 华中师范大学人工智能教育学部,硕士研究生。研究方向:知识图谱、知识组织。作者贡献:数据分析、系统设计、论文撰写。 湖北武汉 430072 吴林静 华中师范大学人工智能教育学部,副教授,硕士研究生导师。研究方向:数据挖掘、知识图谱。作者贡献:设计研究方案、参与论文撰写及修改。湖北武汉 430072 涂凤娇 华中师范大学人工智能教育学部,硕士研究生。研究方向:知识图谱。作者贡献:数据分析、系统设计。 湖北武汉 430072 陈 亮 华中师范大学人工智能教育学部,硕士研究生。研究方向:数据挖掘。作者贡献:系统设计。湖北武汉 430072

Construction of Intelligent Application Service System ofEthnic Instrumental Music Culture from the Perspective ofDigital Protection and Inheritance

Liu Qingtang, Yin Xinghan, Wu Linjing, Tu Fengjiao, Chen Liang(Faculty of Artificial Intelligence in Education, Central China Normal University)   

  • Online:2023-06-15 Published:2023-07-04
  • About author:Liu Qingtang, Yin Xinghan, Wu Linjing, Tu Fengjiao, Chen Liang(Faculty of Artificial Intelligence in Education, Central China Normal University)

摘要:

知识图谱技术支持的智能问答、个性化推荐、智能搜索等人工智能应用,为提升民族器乐文化服务水平、扩大民族器乐文化的传播覆盖面提供一种崭新的思路,对民族器乐文化的保护与传承具有重要意义。本文在分析民族器乐数字化保护现状与难题的基础上,重点探寻了人工智能技术支持的民族器乐数字化资源管理与应用的有效措施,以知识图谱技术为支撑构建了民族器乐文化智能应用服务系统框架,从知识管理、智能问答、智能检索及知识推荐4 个方面设计智能应用服务,满足公众参与的多元化、个性化的需求。并结合土家族民俗文化特性,开发了土家族器乐文化智能应用服务系统实例,展现土家族器乐文化的独特魅力。

Abstract:

Artificial intelligence application, such as intelligent Q&A, personalized recommendation,and intelligent search, supported by knowledge graph technology, expands coverage of nationalinstrumental music culture, provides a new train of thought for the spread of national instrumentalmusic culture, and is thus of great significance for the protection of and inheriting national instrumentalmusic culture. Based on the analysis of the status quo and problems of the digital protection of ethnicinstrumental music, this paper focuses on exploring the effective measures of the management andapplication of digital resources of folk instrumental music. The framework of intelligent applicationservice system of national instrumental music culture supported by knowledge graph technology isconstructed. Intelligent application service is designed from four aspects: knowledge management,intelligent Q&A, intelligent retrieval and knowledge recommendation. Intelligent retrieval and knowledgerecommendation can meet the diversified and personalized participation needs of the public and provideeffective plans for the innovation and development of excellent national instrumental music culture.Taking Tujia instrumental music culture as an example, and combining with the characteristics of folkculture, the intelligent application service system of Tujia instrumental music culture is developed to showthe unique charm of Tujia instrumental music culture.