临床医学课程知识主题图谱构建研究

临床医学课程知识主题图谱构建研究

陆泉1,2, 谢祎玉1, 陈静3, 张涵1, 崔浩冉1, 聂书源1

1. 武汉大学信息资源研究中心 武汉 430072; 2. 武汉大学大数据研究院 武汉 430072; 3. 华中师范大学信息管理学院 武汉 430079

Research on the Construction of Clinical Medicine Course-knowledge Topic Graph

Lu Quan1,2, Xie Yiyu1, Chen Jing3, Zhang Han1, Cui Haoran1, Nie Shuyuan1

1. Center for Studies of Information Resources of Wuhan University, Wuhan 430072; 2. Big Data Institute, Wuhan University, Wuhan 430072; 3. School of Information Management, Central China Normal University, Wuhan 430079

 

摘要 [目的/意义]从知识主题的角度切入,建立全面的课程知识体系,解决现有课程体系设计和教学中的课程间知识点重复及"知识孤岛"问题,从而有效开展专业知识服务。[方法/过程]以临床医学专业主干课程为研究对象,基于医学主题词表、电子教材、电子教案等医学教育数据,通过LDA模型挖掘课程中的知识主题,利用关联分析揭示课程间、知识主题间及课程与知识主题间的细粒度关联,从而构建临床医学课程知识主题图谱。[结果/结论]研究从专业课程体系与知识主题视角构建出领域知识图谱,有助于教学管理人员及师生掌握专业知识体系,开展知识导向型教学活动,推进医学领域知识组织与服务及智慧医学教育发展。
关键词 ： 课程知识主题图谱,  知识图谱,  LDA,  关联分析,  临床医学
Abstract：[Purpose/significance] From the perspective of knowledge topics, this paper try to solve the problems of overlaps and "information island" between courses in the existing curriculum system design and teaching by establishing a comprehensive curriculum knowledge system. Thus, the professional knowledge services can be carried out effectively.[Method/process] This study takes the main courses of clinical medicine as the research object, based on medical thesis vocabulary, electronic textbooks, electronic lesson plans and other medical education data, through the LDA model to deeply explore the knowledge topics in courses, and then using the correlation analysis method to reveal the fine-grained relationship between courses, knowledge topics and the courses and knowledge topics. Thus, a clinical medical course-knowledge topic graph is constructed.[Result/conclusion] The study constructs domain knowledge graph from the perspective of professional curriculum system and knowledge subject. The results will help teaching managers, teachers and students master the professional knowledge system, and carry out knowledge-oriented teaching activities. Furthermore, It can promote the development of knowledge organization and services in the medical field and the development of smart medical education.
Key words： course-knowledge topic graph    knowledge graph    LDA    correlation analysis    clinical medicine
收稿日期: 2018-09-12
1: G251
基金资助:本文系教育部人文社会科学重点研究基地重大项目"大数据资源的挖掘与服务研究——面向医疗健康领域"（项目编号：17JJD870002）研究成果之一。
通讯作者: 陈静(ORCID:0000-0002-6444-2962),副教授,博士,通讯作者,E-mail:[email protected]     E-mail:[email protected]
作者简介: 陆泉(ORCID:0000-0002-8679-9866),教授,博士;谢祎玉(ORCID:0000-0003-1956-1038),硕士研究生;陈静(ORCID:0000-0002-6444-2962),副教授,博士,通讯作者,E-mail:[email protected];张涵(ORCID:0000-0003-2152-5378),本科生;崔浩冉(ORCID:0000-0001-8914-3443),本科生;聂书源(ORCID:0000-0002-7112-6773),本科生。

引用本文:

陆泉, 谢祎玉, 陈静, 张涵, 崔浩冉, 聂书源. 临床医学课程知识主题图谱构建研究[J]. 图书情报工作, 2019, 63(9): 101-108. Lu Quan, Xie Yiyu, Chen Jing, Zhang Han, Cui Haoran, Nie Shuyuan. Research on the Construction of Clinical Medicine Course-knowledge Topic Graph. LIS, 2019, 63(9): 101-108.

链接本文:

http://www.lis.ac.cn/CN/10.13266/j.issn.0252-3116.2019.09.011     或     http://www.lis.ac.cn/CN/Y2019/V63/I9/101