图书情报工作 ›› 2021, Vol. 65 ›› Issue (20): 123-134.DOI: 10.13266/j.issn.0252-3116.2021.20.013

• 知识组织 • 上一篇    下一篇

不确定性环境下的矛盾知识主张识别研究

郭进京, 黄奇   

  1. 南京大学信息管理学院, 南京 210023
  • 收稿日期:2021-05-17 修回日期:2021-08-09 出版日期:2021-10-20 发布日期:2021-10-22
  • 通讯作者: 黄奇(ORCID:0000-0003-2394-148X),教授,博士,博士生导师,通讯作者,E-mail:huangq@nju.edu.cn
  • 作者简介:郭进京(ORCID:0000-0003-1590-8014),博士研究生。

Research on Identification of Contradictory Knowledge Claims Under the Uncertainty Environment

Guo Jinjing, Huang Qi   

  1. School of Information Management, Nanjing University, Nanjing 210023
  • Received:2021-05-17 Revised:2021-08-09 Online:2021-10-20 Published:2021-10-22

摘要: [目的/意义] 科学研究(尤其是医学研究)充满了不确定性,识别研究中的矛盾知识主张将有助于识别"科学分歧/不一致的科学结论",推动潜在变革性科学研究的识别和相关研究的完善。[方法/过程] 以阿尔茨海默病为例,将PubMed文摘数据作为数据源,采用SemRep工具进行三元组抽取。制定表征矛盾意义的知识主张识别规则,依据不确定性程度高低对来源语句进行划分,分别采用单句识别和跨语句识别两种途径,识别以三元组形式表示的、具有矛盾意义的医学研究知识主张。[结果/结论] 从来源于PubMed的6 574篇医学文摘中共计识别出49组(涉及277对三元组)矛盾知识主张。阿尔茨海默病在诊断和治疗方面的研究仍存在部分争议和矛盾,有待进一步验证。矛盾知识主张识别为潜在变革性医学研究前沿发现提供新思路,可用于基于知识计量的知识发现和为知识图谱可信度计算提供参考。

关键词: 知识发现, 不确定性, 矛盾知识, SPO, 阿尔茨海默病

Abstract: [Purpose/significance] Scientific research, especially medical research, is full of uncertainty. Identifying contradictory knowledge claims in research will help identify "scientific divergence/inconsistent scientific conclusions", promote identification of potentially transformative scientific research and improve related research. [Method/process] Taking Alzheimer's disease as an example, this article used SemRep to extract triples from the PubMed abstract data. Based on the knowledge claim identification rules that represented contradictory meanings, this article classified source sentences according to the degree of uncertainty and used single-sentence recognition and cross-sentence recognition respectively to identify contradictory medical research knowledge claims expressed in the form of triples. [Result/conclusion] A total of 49 groups (involving 277 pairs of triples) contradictory knowledge claims are identified from 6574 PubMed medical abstracts. There are still some controversies and contradictions in the diagnosis and treatment of Alzheimer's disease, which need to be further verified. The identification of contradictory knowledge claims provides new ideas for the frontier discoveries of potentially transformative medical research, which can be used for knowledge discovery based on knowledge measurement and provide references for the reliability calculation of knowledge graph.

Key words: knowledge discovery, uncertainty, contradictory knowledge, SPO, Alzheimer's disease

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