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처방 및 약선요리 제조 과정의 데이터베이스 구축을 위한 형태소 분석 연구

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

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주제분류한의학

초록

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.

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.

참고문헌 (9)

  1. Heo J, "Donguibogam" (2005), Beobinmunhwasa
  2. 김정훈, "전탕 방법 및 전탕 시간에 따른 육미지황탕 전탕액 비교 연구", 대한한의학 방제학회지, 19(1), pp.175~182 (2011), 대한한의학방제학회
  3. 김정훈, "전탕 방법 및 전탕 시간에 따른 십전대보탕 전탕액 비교 연구", 대한한방부인과학회지, 25(2), pp.108~119 (2012), 대한한방부인과학회[DOI]
  4. 이병욱, "데이터베이스를 이용한 식료찬요(食療纂要)의 통계적 연구", 한국조리학회지, 21(4), pp.251~270 (2015), (사)한국조리학회
  5. "Food nutritional content DB"[URL]
  6. "Food Materials DB"[URL]
  7. "Herbmed DB"[URL]
  8. "Korean Traditional Knowledge Portal"[URL]
  9. "Traditional Oriental Medicine DB"[URL]

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