For the past several decades, East Asian medicine has been examined in order to uncover its effectiveness in areas where biomedicine is found wanting. Although scientific approaches have been increasingly used to verify the utility of treatment techniques, countless traditional medical techniques found in ancient texts remain to be tested. Currently, about 20,000 or so ancient medical texts are recognized within the East Asian medical tradition. Although some famous texts have been translated and studied, many still exist only as original manuscripts. We are interested in the medical techniques that are listed in those manuscripts. Even before we can ascertain whether such ancient forms of medical treatment can be applied today it is important to understand the full picture of what kind of treatment technology exists. This study aims to develop a database program that automatically converts the original textual description of an East Asian medical technique into a more standardized version. First, our team analyzed the ways that medical skills were described and then designed a database algorithm that recognized the meaningful keywords of the descriptive text for a medical treatment and put it in the right cell in a structured table.
1. 머리말
2. 『동의보감』 처방정보의 기술방식
3. 약재정보 구조화테이블방식 DB정보 추출
4. 약재정보 구조화된테이블방식 DB정보 자동추출 알고리즘에 필요한 전제 요소
5. 구조화테이블방식 자동DB화과정의 오류검증과정
6. 구조화테이블방식 자동DB추출 알고 리즘의 전체 구성 및 확장성
7. 맺음말
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