【目的】基于中國歷代人物傳記資料庫(CBDB)數據,利用知識圖譜的原理和方法描述宋代文人的學術師承關系,為人文領域的知識發現提供新的技術實現方式和研究視角。【應用背景】聚焦當前數字化結果可讀性較低、難以被直觀應用的現狀,通過可視化表達CBDB數據庫中的人物關系,為相關歷史研究者和愛好者提供知識發現和探索的數據入口。【方法】構建宋代學術師承本體,并對數據庫中的文人關系數據進行語義化轉換。在此基礎上開發"宋代學術語義網絡"平臺展示知識圖譜的知識架構和數據內容。【結果】生成的知識圖譜中共有5個類, 39個關系,囊括48 018位人物和6 599條地理信息。"宋代學術語義網絡"平臺集成了Rel Finder可視化工具,用于檢索和動態展示知識圖譜中人物、地理實體間的關系。【結論】本研究為CBDB數據的語義化工作提供了理論和實踐經驗,為歷史學相關問題的研究提供了直觀、高效、易用的工具。

[Objective] The study constructs a knowledge graph of academic relationships among scholars in China’s Song Dynasty, aiming to provide new techniques for knowledge exploration in humanity research. [Context] Our study addresses the usability and visualization issues facing digital collections(i.e. the China Biographical Database Project),and establishes a knowledge portal for history researchers and amateurs. [Methods] First, we built the ontology of ancient Chinese scholars. Then, we transformed their relationship to RDF data for the knowledge graph. Finally, we created an online platform to demonstrate the visualization results. [Results] We created the knowledge graph with five classes and 39 relationships based on 48,018 peoples and 6,599 geographic data. The Song’s Academic Inheritance Platform integrates the Rel Finder visualization tool to display the entities’ relationships in the knowledge graph.[Conclusions] This study offers practical solutions for semantic research on the China Biographical Database Project and related fields in history.