面向事件本体的医学文本语义关联化研究

doi:10.3772/j.issn.1000-0135.2022.05.006

情报学报

2022, Vol. 41

Issue (5): 497-511 DOI: 10.3772/j.issn.1000-0135.2022.05.006

情报技术与应用

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面向事件本体的医学文本语义关联化研究

李跃艳^1,2, 王昊^1,2, 邓三鸿^1,2, 陈艳³

1.南京大学信息管理学院,南京 210023
2.江苏省数据工程与知识服务重点实验室,南京 210023
3.南京大学生命科学学院,南京 210023

Research on Semantic Relevance of Medical Text Oriented to Event Ontology

Li Yueyan^1,2, Wang Hao^1,2, Deng Sanhong^1,2, Chen Yan³

1.School of Information Management, Nanjing University, Nanjing 210023
2.Jiangsu Key Laboratory of Data Engineering & Knowledge Service, Nanjing 210023
3.College of Life Sciences, Nanjing University, Nanjing 210023

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摘要随着互联网医疗的快速发展，数字经济和智能经济成为未来必然发展趋势，医学知识的语义化和规范化是实现智慧医疗和数字医学的重要手段。但现阶段较为成熟的医学本体仅仅描述了一些既定的静态知识，无法揭示医学知识之间的动态关联。因此，以知识表示和知识组织为出发点，构建符合叙事性文本特征的医学知识结构化表示方法具有十分重要的意义。本文在梳理叙事学理论、事件知识表示的基础上，按照是否具有叙事性特征，将医学文本分为叙事性文本和概念性文本；然后，分别对概念性医学文本和叙事性医学文本进行语义建模与表示，构建基于事件本体的医学知识本体模型；最后，根据本文提出的概念模型，实现SARS-CoV-2病毒入侵过程的语义结构化表示。初步标注的实验结果表明，将事件本体模型迁移到医学文本语义结构化描述中，有助于实现医学文本的深层次表示和知识发现，能更好地描述医学知识之间的动态关联，更好地表征医学对象在时间和空间的动态发展特点。

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	李跃艳
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关键词 ：叙事性文本, 事件本体, 语义化, 规范化

收稿日期: 2021-03-30

基金资助:国家自然科学基金面上项目“关联数据驱动下我国非遗文本的语义解析与人文计算研究”（72074108）；南京大学博士研究生创新研究项目“基于知识图谱的医学信息挖掘与推荐研究”（CXYJ21-69）。

作者简介: 李跃艳，女，1991年生，博士研究生，主要研究方向为语义网知识组织及应用；王昊，男，1981年生，博士，教授，博士生导师，主要研究方向为智能信息处理和检索、数据挖掘技术及其应用等，E-mail：ywhaowang@nju.edu.cn；邓三鸿，男，1975年生，博士，教授，博士生导师，主要研究方向为知识图谱、科学评价等；陈艳，女，1996年生，博士研究生，主要研究方向为医学分子机理研；

引用本文:

李跃艳, 王昊, 邓三鸿, 陈艳. 面向事件本体的医学文本语义关联化研究[J]. 情报学报, 2022, 41(5): 497-511.
Li Yueyan, Wang Hao, Deng Sanhong, Chen Yan. Research on Semantic Relevance of Medical Text Oriented to Event Ontology. 情报学报, 2022, 41(5): 497-511.

链接本文:

https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2022.05.006 或 https://qbxb.istic.ac.cn/CN/Y2022/V41/I5/497

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