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KMID : 0644020220350010093
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Journal Of Korean Medical Classics
2022 Volume.35 No. 1 p.93 ~ p.102
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A Strategy for Constructing the Thesaurus of Traditional East Asian Medicine (TEAM) Terms With Machine Learning
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Oh Jun-Ho
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Abstract
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Objectives : We propose a method for constructing a thesaurus of Traditional East Asian Medicine terminology using machine learning.
Methods : We presented a method of combining the 'Automatic Step' which uses machine learning and the 'Manual Step' which is the operator's review process. By applying this method to the sample data, we constructed a simple thesaurus and examined the results.
Results : Out of the 17,874 sample data, a thesaurus was constructed targeting 749 terminologies. 200 candidate groups were derived in the automatic step, from which 79 synonym groups were derived in the manual step.
Conclusions : The proposed method in this study will likely save resources required in constructing a thesaurus.
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KEYWORD
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synonym, thesaurus, machine learning, Korean Medicine, Traditional East Asian Medicine (TEAM)
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