利用Neo4j存储中医皮肤病“病-证-治”本体方法的研究  

Method of Storing Ontologies of “Disease-Syndrome-Treatment” of Dermatosis of Chinese Medicine by Neo4j

作　　者：王明强 张磊[2] 崔一迪 陈欣然 李国正[3] Wang Mingqiang;Zhang Lei;Cui Yidi;Chen Xinran;Li Guozheng(Institute of Information on Traditional Chinese Medicine,CACMS,Beijing 100700,China;Institute of Basic Research In Clinical Medicine,CACMS,Beijing 100700,China;National Data Center of Traditional Chinese Medicine,CACMS,Beijing 100700,China)

机构地区：[1]中国中医科学院中医药信息研究所,北京100700 [2]中国中医科学院中医临床基础医学研究所,北京100700 [3]中国中医科学院中医药数据中心,北京100700

出　　处：《世界科学技术-中医药现代化》2020年第8期2914-2921,共8页Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology

基　　金：科学技术部国家重点研发计划课题(2017YFC1703501):中医药大数据中心与健康云平台共性关键技术研究,负责人:李国正;科学技术部国家重点研发计划课题(2017YFC1703504):基层中医馆健康信息平台的研发与实施,负责人:张磊;中国中医科学院院自主选题(ZZ0908032):大数据构建冠心病中医辨证数据模型方法的研究,负责人:李国正

摘　　要：目的探索一种具有较好扩展性且可检验数据准确性的中医皮肤病"病-证-治"本体的存储方法,为未来开展大规模、高准确性领域本体存储的研究奠定基础。方法在明确中医皮肤病"疾病-证候-治疗"等领域本体及概念间关系的基础上,以资源描述框架(RDF)模型实现领域本体的规范化表达,应用由RDF模型向Neo4j属性图模型映射的规则对领域本体进行映射与存储,结合领域本体对属性的约束设置,最终实现对已存储数据的一致性检验以提高其准确性。结果构建了中医皮肤病"病-证-治"本体及其间关系的RDF模型,实现了由RDF模型向Neo4j属性图模型的映射,并对已存储数据实现了对象属性定义域、值域的数据一致性检验。结论基于Neo4j图数据库构建的中医皮肤病"病-证-治"本体具有扩展性较强、数据准确性较高的特点,本研究为后续进行大规模、高准确性存储中医药领域本体的研究奠定了基础。Objective To explore a storage method of"disease-syndrome-treatment"ontology of dermatosis of TCM,which has good extensibility and can guarantee the accuracy of data,and to lay a foundation for the future research of storage in large-scale and high-accuracy fields.Methods Based on clarifying the relationship among ontologies in the fields of dermatosis of TCM,the normalized expression of domain ontologies were realized by RDF graph model,and the domain ontologies were stored by the rules mapped by RDF model to NE04 J model.Combined the constraint setting of the domain ontologies to realize the test of consistency of the stored data to improve their accuracy.Results The RDF model of the"disease-syndrome-cure"ontology of dermatosis of TCM was constmcted,and the mapping mles from RDF model to NE04 J model were realized,and the data consistency test of object attribute definition domain and Value field was realized for the stored data.Conclusion Neo4 j is highly scalable and the data consistency test is beneficial to improve the accuracy of data,which lays a foundation for the high accuracy storage of large-scale domain ontologies.

关 键 词：Neo4j 中医皮肤病 领域本体 CYPHER 数据一致性 

分 类 号：R275[医药卫生—中医皮科] TP311.13[医药卫生—中医学]