Construction of a ceramic culture knowledge graph dataset
Weidong Zhang, Qiliang Shu, Fubao He · 2024
This paper aims to construct a knowledge graph of ceramics culture. It integrates and displays the history, craftsmanship, and artistic styles of ceramics culture. By analyzing various aspects of ceramics culture, the paper uses knowledge graph technology to systematically classify and associate the collected data. It also explores the application of intelligent technologies (such as 3D printing, digital symbol systems, AI recognition) in the ceramics field. The core process involves data collection, processing, and ontology construction, combined with natural language processing techniques for entity recognition and relationship extraction, and uses the graph database Neo4j for data storage and management. A rich knowledge graph of ceramics culture is successfully constructed, providing a powerful tool for research and dissemination of ceramics culture. Through experimental evaluation, the effectiveness and practicality of the graph are verified, and the scale and quality of the dataset are discussed, pointing the way for future research.