What is it about?

As defined by cultural computing, cultural content is digitally stored in a database, and upper-layer applications are developed based on the database to obtain an excellent user experience. A knowledge graph is a very novel and potential data form. It is our starting point to introduce it into the cultural field and try to improve it to better serve this field.

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Why is it important?

The embedded expression of the knowledge graph is a necessary step for it to be further processed by the algorithm. The quality of this link will affect the subsequent upper-layer application effects.


The cultural matrix constructed in this project is composed of Beijing’s ancient capital culture keyword vector splicing, all entities related to Beijing’s ancient capital culture can be semantically matched with this cultural matrix, and the maximum value can be achieved in the process of collaborative training. This is a core innovation, but there is still room for improvement, and researchers with similar interests are welcome to discuss it together.

Bing Bai

Read the Original

This page is a summary of: CR-TransR: A Knowledge Graph Embedding Model for Cultural Domain, Journal on Computing and Cultural Heritage, October 2023, ACM (Association for Computing Machinery), DOI: 10.1145/3625299.
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