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Annotation Scheme and Specification for Named Entities and Relations on Chinese Medical Knowledge Graph

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Chinese Lexical Semantics (CLSW 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11831))

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Abstract

The medical knowledge graph describes medical entities and relations in a structured form, which is one of the most important representations for integrating massive medical resources. It is widely used in intelligent question-answering, clinical decision support, and other medical services. The key to building a high-quality medical knowledge graph is the standardization of named entities and relations. However, the research in annotation and specification of named entities and relations is limited. Based on the current research on the medical annotated corpus, this paper establishes an annotation scheme and specification for named entities and relations centered on diseases under the guidance of physicians. The specification contains 11 medical concepts and 12 medical relations. Medical concepts include the diagnosis, treatment, and prognosis of diseases. Medical relations focus on relation types between diseases and medical concepts. In accordance with the specification, a new Chinese medical annotated corpus of high consistency is constructed.

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Notes

  1. 1.

    https://bestpractice.bmj.com/.

  2. 2.

    http://www.openkg.cn/dataset/symptom-in-chinese/.

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Acknowledgments

This research is supported by the National Social Science Fund of China (No. 18ZDA315), the Key Scientific Research Program of Higher Education of Henan (No. 20A520038), the science and technology project of Science and Technology Department of Henan Province (No. 192102210260), and the international cooperation project of Science and Technology Department of Henan Province (No. 172102410065).

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Authors and Affiliations

  1. School of Information Engineering, Zhengzhou University, Zhengzhou, China

    Donghui Yue, Kunli Zhang, Lei Zhuang, Xu Zhao & Hongying Zan

  2. Key Laboratory of Computational Linguistics, Ministry of Education, Peking University, Beijing, China

    Odmaa Byambasuren

  3. Peng Cheng Laboratory, Shenzhen, China

    Donghui Yue, Kunli Zhang, Lei Zhuang, Xu Zhao, Odmaa Byambasuren & Hongying Zan

Authors
  1. Donghui Yue
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  2. Kunli Zhang
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  3. Lei Zhuang
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  4. Xu Zhao
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  5. Odmaa Byambasuren
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  6. Hongying Zan
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Corresponding author

Correspondence to Kunli Zhang .

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Editors and Affiliations

  1. National Taiwan Normal University, Taipei, Taiwan

    Jia-Fei Hong

  2. Beijing Information Science and Technology University, Beijing, China

    Yangsen Zhang

  3. Beijing Language and Culture University, Beijing, China

    Pengyuan Liu

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Yue, D., Zhang, K., Zhuang, L., Zhao, X., Byambasuren, O., Zan, H. (2020). Annotation Scheme and Specification for Named Entities and Relations on Chinese Medical Knowledge Graph. In: Hong, JF., Zhang, Y., Liu, P. (eds) Chinese Lexical Semantics. CLSW 2019. Lecture Notes in Computer Science(), vol 11831. Springer, Cham. https://doi.org/10.1007/978-3-030-38189-9_58

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  • DOI: https://doi.org/10.1007/978-3-030-38189-9_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-38188-2

  • Online ISBN: 978-3-030-38189-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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