인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2005.1
- 수록면
- 337 - 344 (8page)
이용수
초록· 키워드
Objective: Indexing medical documents is important to retrieve medical information efficiently, but it is labor intensive and an annoying task for indexers or authors. This paper presents that whether an automatic indexing program can help the human task for Korean medical keyword indexing. Methods: We developed an automatic indexing program using Korean Medical Subject Heading(K-MeSH) and evaluated the performance as compared with technical indexers and authors. Results: Experimental result was that the current program's performance was much lower than technical indexers', but it was same as the authors' performance. Conclusion: The result showed that it is very affirmative to develop the automatic indexing program to help authors at least, and to help technical indexers with improving the program by enriching K-MeSH and utilizing K-MeSH structure. (Journal of Korean Society of Medical Informatics 11-4, 337-343, 2005)
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