Application of Knowledge Graph Construction in the Study of the Inheritance of Ancient Chinese Ceramic Craftsmanship
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Abstract
The preservation and inheritance of ancient ceramic craftsmanship require effective methods for integrating fragmented historical records and heterogeneous cultural resources. This study proposes a knowledge-graph-based information modeling framework for representing and analyzing ceramic craftsmanship inheritance. Multi-source historical documents, museum databases, and artifact records are processed through named entity recognition, relation extraction, and ontology modeling techniques to construct a domain-specific knowledge graph. A semantic representation model describing relationships among kilns, artisans, techniques, and artifacts is developed and implemented in a graph database environment. Experimental analysis demonstrates high relation-extraction accuracy and effective reconstruction of technological inheritance pathways across multiple historical periods. The framework supports intelligent knowledge organization and retrieval.
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