摘要
目的:通过梳理《伤寒论》相关知识结构,厘清各类知识点、学习资源等之间的等级结构及关联关系,构建《伤寒论》本体,实现知识表示与共享,为《伤寒论》知识图谱的构建提供概念层基础。方法:以《伤寒论》教材为主要数据源,结合其他相关学习资源如教学课件、古籍等,利用Protégé5.6.1本体构建工具,参照领域本体七步法,分章节结构、知识点、学习资源三方面协同构建《伤寒论》本体模型。结果:共定义17大类、对象属性21个、数据属性7个,比较全面地展现了《伤寒论》知识体系,为知识图谱数据层建设提供了明确的概念及关系约束。结论:将《伤寒论》相关知识及资源进行整合,构建了《伤寒论》领域本体,实现《伤寒论》领域知识的表示与共享,为知识库构建、学习资源管理、知识与资源交叉融合、知识图谱及在线学习系统设计等提供基础性支撑。
Objective:To construct the ontology of Shang Han Lun by sorting out the relevant knowledge structure,clarifying the hierarchical structure as well as correlation among various knowledge points and learning resources,to realize knowledge representation and sharing,also provide a conceptual basis for the construction of the knowledge map of Shang Han Lun.Methods:With the course material of Shang Han Lun as the main data source,combined with other related learning resources such as teaching courseware and ancient texts,the ontology model of Shang Han Lun was constructed using Protégé5.6.1 ontology construction tool and domain ontology seven-step method in three aspects including chapter structure,knowledge points and learning resources.Results:A total of 17 categories,21 object attributes and 7 data attributes were defined,which comprehensively showed the knowledge system of Shang Han Lun,and provided clear concepts as well as relationship constraints for the construction of knowledge graph data layer.Conclusion:By integrating related knowledge and resources,the domain ontology of Shang Han Lun has been constructed,and the domain knowledge has been represented and shared to provide basis for knowledge base construction,learning resource management,cross integration of knowledge and resource,knowledge graph as well as the design for online learning system.
作者
张一卓
孙燕
李宇航
ZHANG Yizhuo;SUN Yan;LI Yuhang(School of Traditional Chinese Medicine,Beijing University of Chinese Medicine,Beijing China 102488)
出处
《中医学报》
CAS
2024年第9期1841-1846,共6页
Acta Chinese Medicine
基金
国家重点研发计划项目(2017YFC1700303)。
关键词
《伤寒论》
本体构建
知识结构
知识图谱
Shang Han Lun
ontology construction
knowledge structure
knowledge graph