The 1st International Workshop on Informatics & Data-Driven Medicine (IDDM 2018) was held in Lviv, Ukraine on November 28-30, 2018.
At this event a scholarly paper «The Axiomatic-Deductive Strategy of Knowledge Organization in Onto-based e-learning Systems for Chinese Image Medicine» was presented by Professor Serhii Lupenko, Professor Volodymyr Pasichnyk, Professor Natalia Kunanets, Professor Xu Mingtang and Postgraduate Student Oleksandra Orobchuk.
The paper is devoted to the axiomatic-deductive strategy of knowledge organization in electronic learning systems for Chinese Image Medicine. The developed approach makes it possible to unify and standardize the data and knowledge presentation in the sphere of Chinese Image Medicine. Also, it is the basis for knowledge specification in modern artificial intelligence systems, particularly, in intelligent e-learning systems. This approach fully meets the requirements of the semantic quality of electronic courses for the image therapists training as well as for the on-line training of Zhong Yuan Qigong system.
The main results of the paper are published in the materials of this international workshop, which will be indexed in prestigious for academic community abstract and citation databases Web of Science and Scopus.
Report, lecture – up to 10 pages, thesis – up to 3 pages A4 in text editor WORD, with 1,5 intervals between lines, script – Times New Roman; script size – 12; frames – 1,25. On the first line there has to be the surname and the initials of the author (authors); the second line – the title of the material (bold script); the third line – the name of organization, where the work was done and the city; further – main material. Preferably to have the resume in English. Pictures and diagrams, you need to duplicate in separate files tiff or jpg. All the materials should be sent in attachments. The titles of documents you need to form according to the surname of the first author in Roman letters.
