[Purpose/Significance] Traditional Chinese medicine is the inheritance of Chinese culture and plays an important role in the development of modern medicine. It should be highly valued. It is of great significance to use digital technology to organize, protect and reuse ancient Chinese medicine books. [Method/Process] The article took bamboo and silk medical manuscripts as the research object, and constructed the bibliographic ontology and content ontology of bamboo and silk medical manuscripts, respectively. Through the connection of the bibliographic ontology and the content ontology, the ontology model of bamboo and silk medical manuscripts was formed; The named entity recognition model was used to extract entity concepts, and the method of dependency syntax parsing and rules was used to extract entity relationships. Finally, the data of the bamboo and silk medical manuscripts was stored in the graph database, and the visualization and retrieval query results of the knowledge graph for bamboo and silk medical manuscripts were presented. [Result/Conclusion] The proposed knowledge organization method using the ontology and knowledge graph establishes a logical knowledge chain of the bamboo and silk medicine, and forms a semantic network of domain knowledge in the Chinese medicine, which makes useful explorations in the intelligence of ancient Chinese medicine books, contributing to the popularization and inheritance of Chinese medicine knowledge.
[1] 张如青.出土简帛医书对澄清后世医学误解与疑义的作用[C]//中华中医药学会第二十二届医古文学术研讨会论文集.北京:中华中医药学会,2013:26-31.
[2] UPADHYAY S, UPADHYAY N. Future directions and a roadmap in digital computational humanities for a data driven organization[J]. Procedia computer science, 2017,122:1055-1060.
[3] KAPLAN F. A map for big data research in digital humanities[J]. Frontiers in digital humanities,2015,2(1):1-7.
[4] 夏翠娟.文化记忆资源的知识融通:从异构资源元数据应用纲要到一体化本体设计[J].图书情报知识,2021(1):53-65.
[5] 王大学,陈熙,杨光辉.基于GIS的中国古籍地理信息系统研究[J].复旦学报(自然科学版),2016,55(6):684-688,697.
[6] 高晶晶.中医古籍数字化生僻字的处理[J].中国中医药图书情报杂志,2014(3):28-30.
[7] 朱玲,朱彦,杨峰.基于中医疾病相关语义关系的正则表达式及知识抽取研究[J].世界科学技术-中医药现代化,2016,18(8):1241-1250.
[8] 付璐,李思,李明正,等.以清代医籍为例探讨中医古籍分词规范标准[J].中华中医药杂志,2018,33(10):4700-4705.
[9] 王国玺,李兵,张华敏,等.基于知识组织的医案古籍知识库的构建与思考[J].西部中医药,2019,32(9):49-52.
[10] HERRERA-HERNANDEZ M C, LAI-YUEN S K, PIEGL L A, et al. A Web-based knowledge management system integrating Western and Traditional Chinese Medicine for relational medical diagnosis[J]. Journal of engineering in medicine, 2016,230(12):1601-1073.
[11] 汤伟平,许坚,李兵,等.岭南温病古籍知识库构建的思路探讨[J].中国医药导报,2020,17(11):136-139.
[12] ABOUENOUR L, NASRI M, BOUZOUBAA K, et al. Construction of an ontology for intelligent Arabic QA systems leveraging the conceptual graphs representation[J]. Journal of intelligent & fuzzy systems, 2014, 27(6):167-167.
[13] CHEN J, OU S. Research on the construction of the semantic model for Chinese ancient architectures based on architectural narratives[J]. The electronic library,2020,38(4):769-784.
[14] FERRE S. Link prediction in knowledge graphs with concepts of nearest neighbours[C]//European semantic Web conference. Berlin:Springer,2019:84-100.
[15] 王菁薇,肖莉,晏峻峰.基于Neo4j的《伤寒论》知识图谱构建研究[J].计算机与数字工程,2021,49(2):264-267,396.
[16] 曾子玲,张华敏,于彤,等.知识图谱及其关键技术在中医药领域的研究与应用综述[J]. 世界科学技术-中医药现代化,2022,24(2):780-778.
[17] CHENG M, XIONG S F, LI F, et al. Multi-task learning for Chinese clinical named entity recognition with external knowledge[J]. BMC medical informatics and decision making,2021,21(1):1-11.
[18] 王蕊,于彤,符永驰,等.中医特色疗法知识地图的初步构建与研究[J].中国数字医学,2015,10(9):86-88.
[19] 刘燕,傅智杰,李姣,等.医学百科知识图谱构建[J].中华医学图书情报杂志,2018,27(6):28-34.
[20] 张德政,谢永红,李曼,等.基于本体的中医知识图谱构建[J].情报工程,2017,3(1):35-42.
[21] 罗计根, 杜建强, 聂斌, 等.基于双向LSTM和GBDT的中医文本关系抽取模型[J].计算机应用研究, 2019, 36(12):3744-3747.
[22] 彭博.数字人文视角下的网络文物信息资源知识图谱构建[J/OL].图书馆论坛:1-11[2022-04-25].http://kns.cnki.net/kcms/detail/44.1306.g2.20220317.1011.002.html.
[23] GRUBER T R. Toward principles for the design of ontologies used for knowledge sharing[J]. International journal of human-computer studies,1995, 43(5/6):907-928.
[24] 王明强,张磊,崔一迪,等.利用Neo4j存储中医皮肤病"病-证-治"本体方法的研究[J].世界科学技术-中医药现代化,2020,22(8):2914-2921.
[25] 崔一迪,王明强,陈欣然,等.痤疮的中医药本体构建研究[J].世界科学技术-中医药现代化,2019,21(12):2867-2872.
[26] 刘畅.基于本体的岭南灸法古籍知识库构建研究[D].广州:广州中医药大学,2019.
[27] 乔幸潮.中药材本体构建研究[D].北京:中国中医科学院,2020.
[28] 于彤,刘静,李海燕,等.中医药子本体抽取方法研究进展[J].中国数字医学,2017,12(1):26-28.
[29] 夏翠娟,刘炜,张磊,等.基于书目框架(BIBFRAME)的家谱本体设计[J].图书馆论坛,2014,34(11):5-19.
[30] 王兴兰.BIBFRAME的发展及其在国内外图书馆的应用[J].图书馆杂志,2022,41(3):79-87.
[31] 尹爱宁,张汝恩.建立《中医药一体化语言系统》[J].中国中医药信息杂志,2003,10(3):90-91.
[32] 于彤,崔蒙,李海燕,等.中医药学语言系统的语义网络框架:一个面向中医药领域的规范化顶层本体[J].中国数字医学,2014,9(1):44-47.
[33] 周祖亮,方懿林.简帛医药文献校释[M].北京:学苑出版社,2014.
[34] MIHALCEA R, TARAU P. TextRank:bringing order into texts[C]//Proceedings of the 2004 conference on empirical methods in natural language processing. Barcelona:Association for Computational Linguistics, 2004:404-411.
[35] 张莹莹.基于知识图谱的舌像诊疗系统研究与构建[D].绵阳:电子科技大学,2019.
[36] WANXIANG C, ZHENGHUA L, TING L. LTP:A Chinese language technology platform[C]//International conference on computational linguistics:demonstrations. Beijing:ACL, 2010:13-16.
[37] 杨普全.名人专题数据平台知识图谱构建方法研究与应用[D].上海:东华大学,2022.
[38] 杨雅斐.基于本体的数据挖掘法对《金匮要略》黄疸病源流的古籍文献研究[D].成都:成都中医药大学,2020.
