Objective To construct a knowledge graph for management of cancer-related fatigue in breast cancer survivors, and to lay a foundation for developing personalized recommender system and intelligent question answering system in the health field.Methods A top-down approach was used to construct the knowledge graph.First, we constructed the data resource by evidence-based literature review; second, we built domain ontology to normalize the knowledge of cancer-related fatigue management; third, we ma-nually extracted knowledge from the data resource and translated the knowledge from unstructured text to structured data as "Entity-Relation-Entity" triples; and finally, we used the MongoDB database and Vue.js for knowledge visualization.Results A total of 11 guidelines, 4 expert consensus statements, and 6 evidence summaries were included for data resources.The domain ontology covered 8 entity types and 8 relationship types.A total of 124 entities were manually extracted to form 121 triples.Finally, we developed the visual presentation of the cancer-related fatigue management for breast cancer survivors.Conclusion The knowledge graph for management of cancer-related fatigue in breast cancer survivors can present the relationships among fatigue management knowledge, and is useful in knowledge storage and knowledge retrieval.