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The Axiomatic-Deductive Strategy of Knowledge Organization in Onto-based e-learning Systems for Chinese Image Medicine

The paper presents the axiomatic-deductive strategy of organizing knowledge in the e-learning course in Chinese Image Medicine, which satisfies the requirements for the semantic quality of an e-learning course. The tree-like structure of the axiomatic-deductive strategy of organization of the semantic space in the e-learning course for studying Chinese Image Medicine is proposed. The methods and tools of Chinese Image Medicine semantic space organization are determined. It is shown that the axiomatic-deductive strategy of organizing the semantic space in the e-learning course for Chinese Image Medicine is in the coherent sequential structuring of its meta-disciplinary logic-semantic core, its own abstract logical-semantic core, and the set of the partial logical-semantic areas of the semantic space of the e-learning course for Chinese Image Medicine, which are realized in machine-interpretive form as an ontology of Chinese Image Medicine. The structural components of the semantic space of the Chinese Image Medicine course are distinguished. The developed approach makes it possible to unify and standardize the representation technology of data and knowledge in the field of Chinese Image Medicine, to make knowledge specification by means of modern onto-based intellectualized e-learning systems, which makes it possible to use modern software tools for the collective development of e-learning courses for different directions of Integrative Medicine.