Research on Knowledge Graph Based on Artistes’ Works
Fangyuan Ju, Xinyi Zhou, Ying Zhou, Xinyi Jiang, Sitong Li · 2021
In order to fill the gaps in the field of artistes’ information display and increase the diversity of the artistes’ network space, this paper proposes a knowledge graph model based on the artistes’ works. The paper uses data mining and analysis techniques to obtain artiste’s information, evaluates the artistes in multiple dimensions, and extracts the collaboration between them. Finally, the paper uses interactive visualization methods to display the artistes’ collaboration network, and realizes the construction and realization of the knowledge graph based on the works.