摘要
随着大数据在医学领域的应用日益广泛,本体在医学知识的表示和组织方面发挥着重要作用。医学知识包含大量复杂概念和关系,准确性和权威性要求高,为医学本体构建带来了挑战。本文提出了一种医学领域本体构建方法(推理-复用法),可以实现医学本体的高效构建,首先初始化领域概念和关系,确保本体知识结构的准确性;然后利用基于本体和规则的知识推理来扩展本体规模;最后,利用评估反馈机制来评价本体。本研究利用该方法首次构建了脑区-自闭症本体,并在此基础上通过知识推理发现了与自闭症有潜在关联的脑区,实现了本体的知识发现和扩展完善。
As big data become increasingly influential in the field of medicine,ontology plays a crucial part in representing and organizing medical knowledge.Medical knowledge has complex concepts and relationships,and requires accuracy and authority,which brings challenges to medical ontology construction.This paper proposes a domain ontology construction method(reasoning-reuse method)to construct medical ontologies reliably and efficiently.Reasoning-reuse method initializes the concepts and relationships of domain knowledge first to ensure the accuracy of the ontology structure.Then knowledge reasoning based on ontology and rules is used to expand the ontology scale.Finally,the evaluation feedback mechanism is used to evaluate the structure and function of the ontology.This paper uses this method to construct the brain-autism ontology for the first time,and add knowledge reasoning and evaluation in the ontology construction process,realizing the knowledge discovery,self-expansion and perfection of the ontology.
作者
洪亮
石晓月
Hong Liang;Shi Xiaoyue(School of Information Management,Wuhan University,Wuhan 430072;Center for the Studies of Information Resources,Wuhan University,Wuhan 430072;National Demonstration Center for Experimental Library and Information Science Education(Wuhan University),Wuhan 430072)
出处
《信息资源管理学报》
CSSCI
2020年第2期80-90,共11页
Journal of Information Resources Management
基金
湖北省自科基金创新群体项目(2019CFA025)
大数据资源语义组织与管理应用研究(2020.1-2022.12)研究成果之一。
关键词
领域本体
本体构建
脑区
自闭症
本体评价
医学信息组织
知识发现
Domain ontology
Ontology construction
Brain area
Autism
Ontology evaluation
Medical information organization
Knowledge discovery