大规模中国历代存世典籍知识图谱构建研究

Research on the Construction of Knowledge Graph of Large-scale Chinese Ancient Books

[目的/意义]探索构建中国历代存世典籍知识图谱,以为研究者挖掘海量古籍书目数据背后隐藏的知识提供一站式平台,拓展古籍知识服务内涵,同时,大规模的典籍知识图谱也是机器智能的重要基础。[方法/过程]通过知识图谱技术对中国历代存世典籍进行知识组织,从需求层、模型层、应用层3部分构建一个典籍知识图谱框架模型,通过人机协作进行典籍数据抽取及多源数据融合,完成数据的整理,并对典籍知识图谱实体类型及属性、典籍知识图谱实体关系及类型进行分析与定义。[结果/结论]所构建的典籍知识图谱包含649549种古籍实体、221783位典籍责任者、1498383个古籍版本、13960个地名节点,形成了一个立体、多维、多用途的古籍知识关联网络,对全球目前存世的主要中国历代典籍书目信息进行了较全面描述。

[Purpose/significance]The establishment of a digital catalog is the need to protect and promote the Chinese civilization,and it also caters to the needs of new documentation and researchers.Chinese classics have been preserved throughout the ages.The construction of the knowledge graph provides a one-stop platform for re-searchers to dig out the hidden know ledge behind the massive bibliographic data of ancient books,which greatly en-hances the knowledge service function of ancient books.The large-scale knowledge graph of ancient books is also an important foundation of machine intelligence.[Method/process]This research used knowledge graph technology to organize the knowledge of ancient Chinese classics,constructed a framework model of classics knowledge graph from three parts:demand layer,model layer,and application layer.Through man-machine collaboration,the data extrac-tion of classics and multi-source data fusion,organize the data,analyze and define the entity types,atributes of the classic knowledge graph and the entity relationships,types of the classic knowledge graph.[Result conclusion]It has realized the construction of the knowledge map of ancient books,including 649549 kinds of ancient book enti-ties,221783 persons in charge of ancient books,1498383 versions of ancient books,13960 nodes of place names,,and has formed a three-dimensional,multi-dimensional and multi-purpose knowledge association network of ancient books.