Research on Knowledge Graph Based on Artistes’ Works

Fangyuan Ju, Xinyi Zhou, Ying Zhou, Xinyi Jiang, Sitong Li
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Abstract

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.
基于艺术家作品的知识图谱研究
为了填补艺人信息展示领域的空白,增加艺人网络空间的多样性,本文提出了一种基于艺人作品的知识图谱模型。本文利用数据挖掘和分析技术获取艺人信息,对艺人进行多维度评价,提取艺人之间的协作关系。最后,采用交互式可视化的方法展示艺术家的协作网络,实现基于作品的知识图谱的构建与实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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