{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T14:00:07Z","timestamp":1776088807891,"version":"3.50.1"},"reference-count":46,"publisher":"Emerald","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,10]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>This study aims to develop metadata of conceptual elements based on the text structure of research articles on Korean studies, to propose a search algorithm that reflects the combination of semantically relevant data in accordance with the search intention of research paper and to examine the algorithm whether there is a difference in the intention-based search results.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design\/methodology\/approach<\/jats:title>\n                    <jats:p>This study constructed a metadata database of 5,007 research articles on Korean studies arranged by conceptual elements of text structure and developed F1(w)-score weighted to conceptual elements based on the F1-score and the number of data points from each element. This study evaluated the algorithm by comparing search results of the F1(w)-score algorithm with those of the Term Frequency- Inverse Document Frequency (TF-IDF) algorithm and simple keyword search.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>The authors find that the higher the F1(w)-score, the closer the semantic relevance of search intention. Furthermore, F1(w)-score generated search results were more closely related to the search intention than those of TF-IDF and simple keyword search.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Research limitations\/implications<\/jats:title>\n                    <jats:p>Even though the F1(w)-score was developed in this study to evaluate the search results of metadata database structured by conceptual elements of text structure of Korean studies, the algorithm can be used as a tool for searching the database which is a tuning process of weighting required.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Practical implications<\/jats:title>\n                    <jats:p>A metadata database based on text structure and a search method based on weights of metadata elements \u2013 F1(w)-score \u2013 can be useful for interdisciplinary studies, especially for semantic search in regional studies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Originality\/value<\/jats:title>\n                    <jats:p>This paper presents a methodology for supporting IR using F1(w)-score\u2014a novel model for weighting metadata elements based on text structure. The F1(w)-score-based search results show the combination of semantically relevant data, which are otherwise difficult to search for using similarity of search words.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1108\/el-03-2021-0055","type":"journal-article","created":{"date-parts":[[2021,7,15]],"date-time":"2021-07-15T07:59:36Z","timestamp":1626335976000},"page":"678-694","source":"Crossref","is-referenced-by-count":0,"title":["Construction of metadata database structured by conceptual elements of text structure and semantic search evaluation of Korean studies"],"prefix":"10.1108","volume":"39","author":[{"given":"Young Man","family":"Ko","sequence":"first","affiliation":[{"name":"Sungkyunkwan University Department of Library and Information Science, , Seoul,","place":["Republic of Korea"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min Sun","family":"Song","sequence":"additional","affiliation":[{"name":"Daelim University College Department of Library and 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