ABSTRACT
This paper, taking the Palace Museum as a case, addresses museums’ information-management challenges in the digital age. It explores the development of an ontology model, Ancient Chinese Artifacts Conceptual Reference Model, tailored for ancient Chinese artifacts within the CIDOC CRM framework. Controlled vocabularies are compiled, and knowledge graph technology is introduced to restructure collection cataloguing data into a standardised and structured graph. This transformation enables enhanced search services on the Palace Museum’s collection online platform, including improved retrieval and bilingual search capabilities. Moreover, it facilitates the integration with large language models for better computer understanding, logical reasoning, and content generation. The Palace Museum’s practice innovatively organises museum knowledge and extracts value from collection data, converting traditional cataloguing data into a computable triple structure, thus meeting the AI-era’s data-processing demands. This research not only boosts the Palace Museum’s information-management efficiency but also provides valuable insights for other cultural heritage institutions.
