Abstract: 【Purpose/significance】How to extract different knowledge from cultural relics information resources and recommend it to relevant users is a key problem in the development and utilization of cultural relics information resources.【Method/process】Build the knowledge network of cultural relics and identify the subject words in the text of cultural relics information resources through the sub⁃ject knowledge association model, and then rank the coupled knowledge according to the importance of knowledge and subject words to realize the knowledge recommendation of cultural relics information resources.【Result/conclusion】Knowledge recommendation of different cultural relic information resources was realized in the experiment, and the effect of knowledge discovery under different num⁃ber of subject words was compared.【Innovation/limitation】Using the knowledge base and information resources to construct knowl⁃edge networks and recommend knowledge by calculating the importance of network nodes provides a new method for the utilization of cultural relics information resources. However, it may not be able to tap the full knowledge of information resources due to the limita⁃tion of knowledge base.