Construction of Ontology of Asthma in Traditional Chinese Medicine

ZHU Ling; LI Jing-hua; YU Qi; YU Tong; TIAN Ye; SUN Xiao-feng; XU Li-li; LI Ze-geng

doi:10.13422/j.cnki.syfjx.2017150222

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Construction of Ontology of Asthma in Traditional Chinese Medicine

更新时间：2024-01-04

- Construction of Ontology of Asthma in Traditional Chinese Medicine
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 23, Issue 15, Pages: 222-226(2017)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.2017150222
  CLC： R256.12;TP391.1
- Published：2017
- 稿件说明：
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ZHU Ling, LI Jing-hua, YU Qi, et al. Construction of Ontology of Asthma in Traditional Chinese Medicine[J]. Chinese journal of experimental traditional medical formulae, 2017, 23(15): 222-226.
DOI：

ZHU Ling, LI Jing-hua, YU Qi, et al. Construction of Ontology of Asthma in Traditional Chinese Medicine[J]. Chinese journal of experimental traditional medical formulae, 2017, 23(15): 222-226. DOI： 10.13422/j.cnki.syfjx.2017150222.

摘要

目的：利用本体的方式实现中医哮喘领域的知识的共建共享及推理。方法：通过对中医文献中“哮喘”相关知识的提取，基于斯坦福大学的七步法构建了“哮喘”的疾病本体，实现了哮喘相关知识的领域建模，建立了部分概念与概念间的关系约束及公理。结果：中医哮喘领域本体构建完成能够实现知识的共享以及简单的推理。共有类120个，实例425个，对象属性18个，其中反向属性6个，数值属性2个，等价类公理1个，子类公理138个，基本实现了对哮喘领域知识的语义化表达。结论：本体的构建在知识的共建、共享及未来知识库的语义检索、数据挖掘中具有一定的参考与应用价值。

Abstract

Objective: To realize the sharing and reasoning of knowledge in the field of Chinese medicine asthma by ontology. Method: Based on seven-step method from Stanford university

the disease ontology of asthma which included axioms was constructed by realizing the knowledge of asthma-related knowledge

and the relationship between some concepts. Result: The ontology construction of Chinese medicine asthma field was completed

which could realize the sharing of knowledge and simple reasoning

containing 102 classes

425 individuals

18 object properties

6 inverse properties

2 data properties

1 equivalent class axiom and 138 subclass of axioms counts. Conclusion: The construction of ontology has a certain value in the co-construction of knowledge and the semantic retrieval and data mining of the future knowledge base.

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Related Institution

School of Information Management， Nanjing University

Institute of Information on Traditional Chinese Medicine，China Academy of Chinese Medical Sciences

Institute of Chinese Materia Medica，China Academy of Chinese Medical Sciences

Institute of Basic Theory for Chinese Medicine，China Academy of Chinese Medical Sciences

Institute of Basic Research in Clinical Medicine，China Academy of Chinese Medical Sciences

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