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A Study on the Retrieval Effectiveness of KoreaMed using MeSH Search Filter and Word-Proximity Search

검색용 MeSH 필터와 단어인접탐색 기법을 활용한 KoreaMed 검색 효율성 향상 연구

  • Jeong, So-Na (Medical Library, Catholic University of Korea) ;
  • Jeong, Ji-Na (Department of Health management, Jeonju University)
  • 정소나 (가톨릭대학교 성의교정 도서관) ;
  • 정지나 (전주대학교 보건관리학과)
  • Received : 2017.03.31
  • Accepted : 2017.05.12
  • Published : 2017.05.31

Abstract

This study examined the method for adding related to "stomach neoplasms" as filters to the Medical Subject Headings (MeSH) for search as well as a method for improving the search efficiency through a word-proximity search by measuring the distance of co-occurring terms. A total of 8,625 articles published between 2007 and 2016 with the major topic terms "stomach neoplasms" were downloaded from PubMed article titles. The vocabulary to be added to the MeSH for search were analyzed. The search efficiency was verified by 277 articles that had "Stomach Neoplasms" indexed as MEDLINE MeSH in KoreaMed. As a result, 973 terms were selected as the candidate vocabulary. "Gastric Cancer" (2,780 appearances) was the most frequent term and 7,376 compound words (88.51%) combined the histological terms of "stomach" and "neoplasm", such as "gastric adenocarcinoma" and "gastric MALT lymphoma". A total of 5,234 compounds words (70.95%), in which the co-occurring distance was two words, were found. The matching rate through the MEDLINE MeSH and KoreaMed MeSH Indexer was 209 articles (75.5%). The search efficiency improved to 263 articles (94.9%) when the search filters were added, and to 268 articles (96.7%) when the 13 word-proximity search technique of the co-occurring terms was applied. This study showed that the use of a thesaurus as a means of improving the search efficiency in a natural language search could maintain the advantages of controlled vocabulary. The search accuracy can be improved using the word-proximity search instead of a Boolean search.

Keywords

Medical Subject Headings;Retrieval Efficiency;Stomach Neoplasms;Co-word Analysis;Word-proximity Search;KoreaMed

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