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Morphological Analysis Study for the Development of DB on the Manufacture Process of Prescription and Medicinal Food

처방 및 약선요리 제조 과정의 데이터베이스 구축을 위한 형태소 분석 연구

  • Kim, Thae-Yul (Dept. of Medical Classics and History, College of Korean Medicine, Dongguk University) ;
  • Hwang, Su-Jung (Dept. of Medical Classics and History, College of Korean Medicine, Dongguk University) ;
  • Kim, Ki-Wook (Dept. of Medical Classics and History, College of Korean Medicine, Dongguk University) ;
  • Lee, Byung-Wook (Dept. of Medical Classics and History, College of Korean Medicine, Dongguk University)
  • 김태열 (동국대학교 한의과대학 원전의사학교실) ;
  • 황수정 (동국대학교 한의과대학 원전의사학교실) ;
  • 김기욱 (동국대학교 한의과대학 원전의사학교실) ;
  • 이병욱 (동국대학교 한의과대학 원전의사학교실)
  • Received : 2016.04.26
  • Accepted : 2016.05.12
  • Published : 2016.05.25

Abstract

Objectives : Treatment using foods has already been recorded since the time of Zhou Dynasty of China. Modifications in the cooking process of medicinal food or manufactural process of herbal medicines are accompanied by the alterations in the ingredients that affect the actual efficacies of medicinal food or herbal medicine, and may have marked effects on the patients including the difficulties that may be experienced in consuming the food or taking the medicine. Therefore, systemic management is essential in such processes. Accordingly, management of such knowledge system must be standardized and conveniently administered by grafting IT technology. This study aims to overcome the problem of the failure of the knowledge system on the material-oriented medicinal herbs to apply the knowledge on the cooking process that impart marked influence on the actual efficacies of the medicinal herbs. Methods : Therefore, analysis of the cooking process or manufacturing processes of prescriptions was executed by using the morphological analysis method in natural language. In this study, we aimed to make data structure of the terminologies that represent manufacture process of prescription and medicinal food. The data structure is combinations of smallest unit in natural language. We made the database by analyzing morpheme of the natural language to express the manufacture process of prescription and medicinal food. Results & Conclusions : As the results, we can express making process of Cheonjin-won, Guseon-wangdogo and Sanyagbaegboglyeongtalagjuk in DB. It was concluded that the development of DB through the extraction of a total of 15 types of concepts including 'order', 'action' and 'continuous action', etc. was helpful in systematization of the knowledge on medicinal herbs including the manufacturing process.

Keywords

References

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