Oracle Bone Studies (OBS) benefit a lot from the introduction of computer science and artificial intelligence (AI), which changes the traditional way of organization of OBS knowledge, and results in a rapid accumulation of important research data. However, these data are not fully explored, and the processing faces challenges in the storage, representation, sharing and reuse of OBS big data, due to the lack of knowledge organization and management tools and knowledge application models for OBS. To address the two outstanding problems faced by OBS research bottleneck: high dependence on expert knowledge but low degree of knowledge sharing and reuse; poor computability and interpretability due to qualitative analysis. A new knowledge organization model carved from multiple dimensions such as refinement, fragmentation, conceptualization, networking, vectorization, and multimodal fusion is proposed. The OBS Knowledge application Pyramid (OBSKP) model is proposed from the perspective of Computational Oracle Bone Studies (COBS). The OBSKP shows the direction for the OBS research in the era of AI and provides the storage and representation standards and specifications for the subsequent OBS research data. Moreover, several important applications based on the OBSKP are presented.