의학 논문 색인을 위한 한국어 MeSH 키워드 추천 시스템
A Korean MeSH Keyword Suggestion System for Medical Paper Indexing
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Abstract
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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