In the digital age, libraries, archives, and museums house vast amounts of high-quality information resources, yet they face challenges such as heterogeneous fragmentation, weak connections, and inefficient utilization. As a core technology of semantic networks, knowledge graphs possess strong semantic expression and association-mining capabilities. This paper addresses the practical difficulties in integrating information resources from libraries, archives, and museums, explains the characteristics of knowledge graph technology, analyzes its application value, and proposes a comprehensive integration strategy that includes ontology construction, data fusion, platform establishment, and collaborative management. This strategy aims to provide a technical path and practical reference for achieving semantic interconnection of resources and intelligent upgrading of services.