Research on the Construction and Application of the Knowledge Graph for the Inheritance Genealogy of the Sichuan School Guqin from the Perspective of Digital Humanities

From the perspective of Digital Humanities,this study addresses the needs for the digital protection and academic research of the inheritance genealogy of the Sichuan School Guqin,constructing a multi-dimensional relationship knowledge graph based on the Neo4j graph database.By collecting data from academic literature and expert interviews,the study organizes 68 core figures,2 inheritance branches,and 92 relationships.After data processing,a dedicated model including node attributes, relationship types,and temporal dimensions is designed.Through batch data import and index optimization using Python scripts,the response time for core queries is reduced by more than 80%.Experiments show that the graph can realize efficient traceability of inheritance chains and quantitative analysis of the influence of core figures,providing a structured digital tool for the research on the Sichuan School Guqin.The innovation of this study lies in proposing a domain-specific modeling method adapted to its characteristics,which not only enriches the theory of digital protection of intangible cultural heritage but also provides a reusable technical path for constructing inheritance genealogies of similar traditional art schools.