[Purpose/significance] Aiming at the problems of resource retrieval and navigation which are caused by social tagging system used for digital archive resource organization, a digital archive resource aggregation model based on topic maps is presented in order to improve the efficiency of digital archive resource retrieval and establish an orderly visual navigation. [Method/process] Based on the analysis of using topic maps to realize the research status of social tagging system resource aggregation, a resource aggregation model based on topic maps in the field of digital archives is constructed, and a systematic solution to the three key elements of digital archives resource: topic types, association types and occurrence types is given, which uses social network analysis and formal concept analysis, so as to realize the resource aggregation of digital archives tagging system. [Result/conclusion] Taking the topic of "Women at War" in NARA digital archives tagging system as an example, we use the method proposed in this paper and combine Ontopia tools to achieve the aggregation of digital archives resources of target topic, which effectively improves the retrieval efficiency and navigation effect of digital archives resources.