[Research on ontology construction of acupuncture effect based on ISO/TS 16843-6: 2022].

In order to specify the information expression of acupuncture effect and realize the knowledge reuse and sharing, in view of animal experiments and clinical trials, the relevant knowledge of acupuncture effect is allocated. Using seven-step method and Protégé5.5.0 tool, the ontology of acupuncture effect is constructed on the base of ISO/TS 16843-6: 2022. A total of 199 classes are constructed, including 7 categories (acupuncture point, acupuncture therapy, needling method, biological process, genes and gene products, disorder, and anatomic structure), 12 object properties, 1 108 instances and 5 123 axioms. A semantic network with the characteristics of acupuncture and moxibustion is established and the structured expression for the knowledge of acupuncture effects is obtained, which lays the foundation for the innovation and development in the field of acupuncture and moxibustion.

[Automatic labeling and extraction of terms in natural language processing in acupuncture clinical literature].

The paper analyzes the specificity of term recognition in acupuncture clinical literature and compares the advantages and disadvantages of three named entity recognition (NER) methods adopted in the field of traditional Chinese medicine. It is believed that the bi-directional long short-term memory networks-conditional random fields (Bi LSTM-CRF) may communicate the context information and complete NER by using less feature rules. This model is suitable for term recognition in acupuncture clinical literature. Based on this model, it is proposed that the process of term recognition in acupuncture clinical literature should include 4 aspects, i.e. literature pretreatment, sequence labeling, model training and effect evaluation, which provides an approach to the terminological structurization in acupuncture clinical literature.