Abstract: 【Purpose/significance】Cultural heritage image resources are increasingly becoming an important part of the infrastructure construction of digital humanities.In order to overcome the negative impact of the semantic gap between the content and form of image resources on their development and utilization,it is necessary to study the fine mapping and fine-grained knowledge representation of the low-level visual features and high-level semantic features of cultural heritages image resources.【Method/process】Based on the analysis of the requirements and strategies of knowledge representation in the field of cultural heritage image resources,this paper pro⁃poses a fine-grained knowledge representation model of cultural heritage image resources upon knowledge element.On the basis of model building,this paper take the famous painting heritage-The Thirteen Emperors as an example,elaborates the specific process of
knowledge element’s extraction,construction and release so that meeting the fine-grained representation requirements of cultural heri⁃tage image resources【. Result/conclusion】The experimental results show that the fine-grained knowledge representation method based on knowledge element can establish an effective semantic mapping relationship between the low-level visual features and the highlevel semantic features of the image,and realize the deep integration with the open linked data network through data association with external knowledge base.【Innovation/limitation】This paper designs and demonstrates the fine-grained knowledge representation
method of cultural heritage image resources based on knowledge element.In subsequent studies,we need to further explore the automat⁃ic extraction method of cultural heritage knowledge elements,and the knowledge discovery of cultural heritage image resources upon knowledge elements.