This presentation shares the Palace Museum’s practice of extending CIDOC CRM into CRM-ACA, a localized ontology tailored to ancient Chinese artifacts, to address knowledge organization challenges of the museum’s collection. It highlights how this ontology underpins knowledge graph construction and empowers online-collection knowledge services.
The Palace Museum extends CIDOC CRM to develop CRM-ACA, a tailored ontology for ancient Chinese artifacts, and compiles a controlled vocabulary accordingly. Based on this, we construct a knowledge graph for our collection, forming a three-step methodological chain for ontology extension, controlled vocabulary compilation and knowledge graph building. The resulting high-quality structured data has been applied to optimize our collection retrieval services and support AI applications such as large language model training, providing a practical reference for CIDOC CRM-based cultural heritage knowledge organization.