J Korean Soc Med Inform.
2005 Dec;11(4):337-343.
A Korean MeSH Keyword Suggestion System for Medical Paper Indexing
- Affiliations
-
- 1Department of Computer Education, College of Teachers, Chungbuk National University Cheongju, Korea. jasonl@cbu.ac.kr, misogiyoo@empal.com
- 2Information and Computer Education Major, Graduate School of Education, Chungbuk National University Cheongju, Korea.
- 3Department of Health Informatics and Management, College of Medicine, Chungbuk National University Cheongju, Korea.
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.