ISSN : 2466-2542
This study traced the macroscopic evolutionary process and microscopic intellectual diffusion trajectories in the linked data research field. A main path analysis based on citation relationships was conducted on 1,277 related articles indexed in the Web of Science from 2007 to 2025. Specifically, to comprehensively capture the mainstream intellectual flow and the innovation processes expanding into specific domains, a multi-layered analysis framework was applied, combining a global main path with key-route global and local searches. The findings of this study are as follows. First, the global main path analysis revealed that linked data research has followed a clear linear evolutionary trajectory: from ‘basic infrastructure construction’ to ‘enhancement of quality and accessibility,’ and finally to ‘intelligent domain utilization.’ Second, the key-route global main path analysis identified a robust spindle-shaped intellectual ecosystem, where digital humanities and research data management (RDM) domains are organically integrated around mainstream infrastructure technologies. Third, the microscopic path analysis via the key-route local main path confirmed the autogenous genealogical growth of linked education and next-generation educational services, alongside the advancement of data governance.