This project aims to construct information modeling capturing the interactions and movements of individuals within Ming Dynasty historical texts record, leveraging natural language processing and geographic information system, with the integration of both scientific approach, modeling the historical information therefore, contribute to digital humanity research. The primary source is the "Ming Shilu" alongside other records from Ming Dynasty. The goal is to analyze key entities (characters, locations, temporal points, organizations) and their interconnections, enhancing the comprehensive understanding of the ming dynasty society and culture phenomena through observing the individuals interaction and movements through structurize profound classical chinese text from the numerous digtialize texts therefore adding value to our profound Ming Dynasty historical records.

As techniques for entity relationship analysis improve, a deeper exploration of historical archives and connections across texts is anticipated. This approach is expected to be applicable to a range of historical compositions, facilitating analysis of characters' spatio-temporal movements and historical knowledge integration. The project will culminate in an interactive spatio-temporal atlas and a digital platform with a search function for spatio-temporal data. These tools will serve as repositories for historical information and for conducting historical investigations. The project will aid the digitization of Ming Dynasty data, encouraging interdisciplinary collaboration, and driving advancements in the digital humanities.