在数字化时代，图书馆、档案馆、博物馆汇聚了海量优质信息资源，却面临异构割裂、关联薄弱、利用低效等问题。知识图谱作为语义网核心技术，具备强大的语义表达与关联挖掘能力。本文立足图档博信息资源整合现实困境，阐述知识图谱技术特性，分析其应用价值，提出涵盖本体构建、数据融合、平台搭建、协同管理的深度整合策略，为实现资源语义互联、服务智能升级提供技术路径与实践参考。

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.