• 国家药监局综合司 国家卫生健康委办公厅
  • 国家药监局综合司 国家卫生健康委办公厅

Thinking and Prospect of ontology research of traditional Chinese Medicine——From term set to ontology set

Corresponding author: Zhu Yan, zhuyan166@126.com
DOI: 10.12201/bmr.202206.00002
Statement: This article is a preprint and has not been peer-reviewed. It reports new research that has yet to be evaluated and so should not be used to guide clinical practice.
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    Abstract: Objective By reviewing the ontology research in the field of traditional Chinese medicine in recent years, this paper comprehensively combs the support provided by the traditional knowledge organization system for the domain ontology research, summarizes the successful experience and shortcomings, and puts forward the proposal of jointly constructing the ontology collection of traditional Chinese medicine. Methods Investigate and count the typical knowledge organization systems in the field of traditional Chinese medicine, and draw statistical tables. Results The existing knowledge system provides the basis for ontology research. The open sharing, interoperability, function enhancement and application of ontology are becoming more and more important in the field of traditional Chinese medicine. Conclusion Put forward the proposal of jointly constructing the ontology set of traditional Chinese medicine, in order to become the basic resource of semantic standardization in the field of traditional Chinese medicine informatization, and better support the integration and intelligent analysis of multi-source data in the field of traditional Chinese medicine.

    Key words: traditional Chinese medicine; ontology; term set; sharing; interoperability

    Submit time: 1 June 2022

    Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
  • 图表

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  • ID Submit time Number Download
    1 2022-04-21

    bmr.202206.00002V1

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Zhu Yan, Xu Jingwen. Thinking and Prospect of ontology research of traditional Chinese Medicine——From term set to ontology set. 2022. biomedRxiv.202206.00002

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