Abstract:

This study aims to achieve information exchange and integration among cultural heritage institutions and provide machine-readable information resources to meet the needs of generative artificial intelligence in factual reasoning and decision support. Focused on ancient Chinese movable artifacts, the research utilizes the CIDOC-CRM framework as a foundation and combines top-down and bottom-up approaches to construct the Ancient Chinese Artifacts Conceptual Reference Model(CRM-ACA).Building upon this ontology model, a knowledge graph is created to facilitate data services for the Palace Museum's Online Collection Platform, thereby validating the operability of CRM-ACA. This development fills gaps in the museum industry and promotes the exchange, integration, and intelligent processing of museum collection information.

Key words:

the Palace Museum , ontology model , conceptual reference model , information organization , knowledge graph , CIDOC-CRM , CRM-ACA