［目的/意义］ 信息技术的快速发展与广泛应用推动了敦煌学研究的变革，使敦煌学研究及其知识资源的利用更加便利，由于还停留在现有数据库传统知识平台与检索方式上，使敦煌遗书图像知识的价值挖掘不全面。为此，笔者对敦煌遗书图像研究进行梳理，对敦煌图像知识发现的深度和广度及其知识关联进行充分的语义描述，以利于发掘敦煌遗书图像的多元价值。［方法/过程］ 通过敦煌遗书图像研究现状的考量、语义描述，根据敦煌遗书图像语义特征设计其语义特征层级模型，结合智能+关联数据技术构建敦煌遗书图像知识关联的组织框架，并深入分析了敦煌遗书图像知识关联及其组织框架中的数据收集层、语义描述层、数据关联层、资源应用层。［结果/结论］ 提出敦煌遗书知识关联模型的实践价值，能够打通与外部开放数据关联渠道、提高敦煌遗书图像智能化的检索质量以及提升敦煌遗书图像知识服务的深度与广度。

[Purpose/significance] The rapid development and wide application of information technology certainly promote the reform of Dunhuang studies, which make the utilization of Dunhuang studies and its knowledge resources more convenient. Because of the traditional knowledge platform and retrieval method of databases, the value mining of knowlegde of Dunhuang documents images is not complete. Therefore, this paper combs the research of Dunhuang documents images and gives a full semantic description for the depth and breadth of their knowledge, exploring the multiple values of Dunhuang documents images. [Method/process] Through the consideration and semantic description of present researches of Dunhuang documents images, hierarchical model of semantic features was designed in light of their semantic features. The organizational model was constructed by combing intelligent+ and linked data. And this paper deeply analyzes knowledge association of the Dunhuang documents images and the data collection layer, the semantic description layer, the data association layer and the resource application layer of the hierarchical model. [Result/conclusion] The paper puts forward the practical value of the knowledge association model of Dunhuang documents, which can open the connection channel with outside data, improve the retrieval intelligentized quality of Dunhuang documents images, and enhance its depth and breadth of the knowledge service.