Research on the Acquisition Algorithm of Ontology Meta-model in Medical Domain Knowledge

Abstract

Medical objects include specific medical objects and abstract medical objects. There may be different definitions and ways of understanding in different periods of the medical knowledge or medical events, and there may be a greater understanding of the differences in different countries. A key problem in the paper is the method of medical knowledge acquisition and the analysis method of knowledge representation. The paper proposes a text feature selection method based on text medical knowledge and a method to obtain the medical knowledge acquisition strategy driven by the weighted path method. The experimental results show that the proposed method can complete the acquisition and preservation of the medical domain knowledge ontology meta model, which lays the foundation for the further processing of ontology knowledge in the field of medicine.