Abstract: 【Purpose/significance】Based on the interdisciplinary nature of digital memory research, this study constructs academic knowledge map, explores domain knowledge organization, and excavates potential knowledge correlation, in order to provide reference for subsequent relevant research.【Method/process】Academic papers on digital memory published in the fields of library science, in⁃ formation science, archives science, computer science and journalism and communication science were taken as the research objects, and the core research topics in the fields were identified through theme modeling. With the help of SciAIEngine and LTP of HIT, text mining was carried out, and triples were extracted to construct the domain academic knowledge map. Through the theory and method of visual presentation of knowledge query, knowledge discovery is realized from the perspectives of "research theory", "research method" and subject research content.【Result/conclusion】Based on the constructed knowledge graph, the popular research topics in the field of digital memory were summarized, and the fine-grained mining and aggregation of the research contents in this field were carried out to provide a new perspective for scientific research.【Innovation/limitation】The subject area of the research object is limited, and only Chinese academic papers are selected for text mining. In the future, other relevant disciplines should continue to be included in the re⁃ search scope, and more foreign language research texts should be added.