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机构地区:[1]北京大学信息管理系,北京100871 [2]中国人民解放军总医院神经信息中心 [3]北京师范大学教育技术学院
出 处:《北京大学学报(医学版)》2009年第2期230-234,共5页Journal of Peking University:Health Sciences
基 金:国家科技基础条件平台工作项目--医药卫生科学数据管理和共享服务系统(2004DKA20240)~~
摘 要:目的:通过构建神经信息学本体,为神经信息学研究提供良好的信息整合、知识表示、文本挖掘、智能教育和数据共享服务。方法:分析生物医学领域已有的统一医学语言系统、基因本体、癌症本体、解剖学本体、疾病本体和药物本体的结构和内容,对神经信息学领域专业概念及其关系进行了探讨,提出了神经信息学本体的设计原则、标准和规范、构建方式和基本流程,并利用Protg工具编制本体?峁?构建了基于多层次概念语义网络的、符合网络本体语言(web ontology language,OWL)规范的神经信息学本体。结论:神经信息学本体可以从不同层次的形式化模式上给出神经信息学领域概念和概念之间相互关系的明确定义,形成清晰的神经信息学理论框架,实现对相关领域知识的共同理解。Objective:To supply good information integration, knowledge representation, text mining, intellectual education and data sharing services by setting up neuroinformatics ontology. Methods:By analyzing the structures and contents of current ontologies in the biomedical field, such as UMLS, Gene Ontology, Cancer Ontology, Anatomy Ontology, Disease Ontology and Drug Ontology, the concepts and their relationships of neuroinformaties were discussed and the design principles, standards and norms, building methods and basic procedures of multi-level concept semantic networks-based neuroinformatics ontology constructed by Protege-OWL tool were presented in this article. Results: A multi-level concept semantic network-based OWL (web ontology language The neuroinformatics ontology can bring about explicit ) neuroinformatics ontology was built. Conclusion: definitions of concepts and their relationships in the field of neuroinformatics from different formal models, build clear theoretical framework for neuroinformatics, achieve a common understanding of related field knowledge and supply good services of information integration, knowledge representation, text mining, intelligent education and data sharing.
分 类 号:R741[医药卫生—神经病学与精神病学]
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