摘要
如何从大量碎片化的音乐类非遗信息资源中抽取数据进行知识图谱构建,是大数据时代进行音乐类非遗知识深度利用的基础性问题。通过七步法构建音乐类非遗知识的本体概念模型,并依照模型爬取相关数据,利用ERNIE-BiLSTMCRF模型对获取的音乐类非遗语料进行知识抽取,获取的数据存储至图数据库中,完成音乐类非遗知识图谱的构建,以此实现音乐类非遗信息资源的深度开发,促进领域的发展。
How to extract data from a large number of fragmented music-based non-heritage information resources for knowledge graph construction is a fundamental issue for the in-depth exploitation of music-based non-heritage knowledge in the era of big data.The ontology concept model of musical intangible cultural heritage knowledge is constructed through a seven-step method,and relevant data is crawled according to the model,and operations such as named entity identification extraction are carried out based on the ERNIE-BiLSTM-CRF model,the obtained data is stored in the graph database to complete the construction of the music intangible cultural heritage knowledge graph,so as to realize the in-depth development of music intangible cultural heritage information resources and promote the development of the field.
作者
张瑞
闫浩
ZHANG Rui;YAN Hao(School of Electronic Engineering,North China University of Water Resources and Electric Power,China;Zhengzhou Tourism College,Zhengzhou 450000,China)
出处
《长江信息通信》
2023年第12期235-237,共3页
Changjiang Information & Communications
关键词
音乐类非遗
知识图谱
本体
知识抽取
图数据库
intangible cultural heritage of music
knowledge graph
Ontology
knowledge extraction
graph databas