“知识库”作为未来学术研究的核心基础设施，不仅为人文学者提供研究工具或平台，其建设同时也推动数字人文方法论体系的形成。当前在音乐学界，对于构建知识库的基本思路、整体流程、具体办法、人文研究与技术如何结合，特别是针对音乐学者的研究领域和场景、满足人文研究需求的知识库的理论建构以及实践尚在探索阶段。笔者基于博士阶段的实践与思考，提出在知识库建构中，以“元数据-本体”协同架构为核心的解决方案，通过构建兼具音乐学规范性与计算可操作性的知识模型，来破解传统研究模式中显性知识与隐性知识割裂、静态描述与动态阐释失衡的结构性矛盾，对京剧音乐知识进行更进一步的内部链接和技术赋能下的亲近识别，推动“数据驱动型”研究方法的运用，为研究者进行知识发现奠定基础。

As a core infrastructure for future academic research,the“knowledge base”not only provides research tools or platforms for humanities scholars,but also promotes the formation of digital humanities methodology system.In the current circle of musicology,the theoretical framework and practical implementation of knowledge base that align with humanistic research needs,particularly regarding fundamental principles,overall processes,specific methods,and the integration of humanities research with technology,remain in exploratory stages,especially when addressing music scholars' specific research areas and scenarios.Based on practical experiences and reflections in my doctoral stage,I propose a solution centered on a“metadata-ontology”collaborative framework in the construction of knowledge bases.This involves creating a knowledge model that balances the normative aspects of musicology with computational operability, addressing the structural contradictions between explicit and implicit knowledge,as well as the imbalance between static descriptions and dynamic interpretations found in traditional research models.This approach aims to further enhance internal linking and recognition of Peking Opera music knowledge,promoting the application of“data-driven”research methods,and laying a foundation for knowledge discovery for researchers.