[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.
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