Advancements in Oracle Bone Inscriptions Processing: Impact on Historical Data Management
Recent developments in the processing of Oracle bone inscriptions (OBI) have been significantly influenced by the integration of large language models (LMMs) and deep convolutional neural networks (DCNNs). These technologies have transitioned the field from manual, expert-driven methods to automated frameworks, enhancing tasks such as character recognition, classification, and retrieval. The OracleAgent system exemplifies this shift by providing structured management and retrieval of OBI-related data. This system utilizes multiscale feature integration to align features across different domains, facilitating cross-modal retrieval. The advancements have also led to the creation of large-scale OBI databases, which are crucial for further research and analysis. 
