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作 者:张向先[1] 李世钰 沈旺[1] 张承坤 王宇[1] Zhang Xiangxian;Li Shiyu;Shen Wang;Zhang Chengkun;Wang Yu(School of Business and Management,Jilin University,Changchun 130012;School of Basic Medicine,Changchun University of Chinese Medicine,Changchun 130117)
机构地区:[1]吉林大学商学与管理学院,长春130012 [2]长春中医药大学基础医学院,长春130117
出 处:《图书情报工作》2022年第22期28-43,共16页Library and Information Service
基 金:国家社会科学基金项目“数据驱动的档案文献资源知识构建与知识服务研究”(项目编号:21BTQ109)研究成果之一。
摘 要:[目的/意义]从数字人文视角出发,实现敦煌吐鲁番医药文献的数字化及知识组织与可视化,为敦煌吐鲁番医药文献的传承、普及与智能化服务做出贡献。[方法/过程]采用自顶向下方法,参考BIBFRAME书目模型及中医药学语言系统(TCMLS)构建敦煌吐鲁番医药文献本体模型,利用哈工大语言技术云平台LTP实现词性标注与三元组自动抽取,构建敦煌吐鲁番医药文献知识图谱。[结果/结论]利用所构建的本体及知识图谱可实现敦煌吐鲁番医药文献知识组织工作,知识图谱能够实现语义查询,为敦煌吐鲁番医药文献的智能化理解奠定基础。[Purpose/Significance]From the perspective of digital humanities,this paper tries to realize the digitization,knowledge organization and visualization of Dunhuang Turpan medical documents,and contribute to the inheritance,popularization and intelligent service of Dunhuang Turpan medical documents.[Method/Process]The ontology model of Dunhuang Turpan medical literature was constructed by using the top-down method,referring to BIBFRMAE model and TCMLS language system.The part of word tagging and triplet automatic extraction were realized by using the Harbin Institute of Technology language technology cloud platform LTP to construct the Dunhuang Turpan medical literature knowledge graph.[Result/Conclusion]The research successfully used the constructed ontology and knowledge graph to realize the knowledge organization of Dunhuang Turpan medical literature.The knowledge graph can realize semantic query,and lay the foundation of intelligent understanding of Dunhuang Turpan medical literature.
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