Browse > Article
http://dx.doi.org/10.3743/KOSIM.2013.30.1.007

A Study on the Research Trends in Library & Information Science in Korea using Topic Modeling  

Park, Ja-Hyun (연세대학교 문헌정보학과 일반대학원)
Song, Min (연세대학교 문헌정보학과)
Publication Information
Journal of the Korean Society for information Management / v.30, no.1, 2013 , pp. 7-32 More about this Journal
Abstract
The goal of the present study is to identify the topic trend in the field of library and information science in Korea. To this end, we collected titles and s of the papers published in four major journals such as Journal of the Korean Society for information Management, Journal of the Korean Society for Library and Information Science, Journal of Korean Library and Information Science Society, and Journal of the Korean BIBLIA Society for library and Information Science during 1970 and 2012. After that, we applied the well-received topic modeling technique, Latent Dirichlet Allocation(LDA), to the collected data sets. The research findings of the study are as follows: 1) Comparison of the extracted topics by LDA with the subject headings of library and information science shows that there are several distinct sub-research domains strongly tied with the field. Those include library and society in the domain of "introduction to library and information science," professionalism, library and information policy in the domain of "library system," library evaluation in the domain of "library management," collection development and management, information service in the domain of "library service," services by library type, user training/information literacy, service evaluation, classification/cataloging/meta-data in the domain of "document organization," bibliometrics/digital libraries/user study/internet/expert system/information retrieval/information system in the domain of "information science," antique documents in the domain of "bibliography," books/publications in the domain of "publication," and archival study. The results indicate that among these sub-domains, information science and library services are two most focused domains. Second, we observe that there is the growing trend in the research topics such as service and evaluation by library type, internet, and meta-data, but the research topics such as book, classification, and cataloging reveal the declining trend. Third, analysis by journal show that in Journal of the Korean Society for information Management, information science related topics appear more frequently than library science related topics whereas library science related topics are more popular in the other three journals studied in this paper.
Keywords
library and information science; research trends; topic modeling; text mining; latent Dirichlet allocation(LDA);
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
연도 인용수 순위
1 김판준, 이재윤 (2007). 연구 영역 분석을 위한 디스크립터 프로파일링에 관한 연구. 정보관리학회지, 24(4), 285-303. http://dx.doi.org/10.3743/KOSIM.2007.24.4.285 (Kim, Panjun, & Lee, Jae Yun (2007). Descriptor profiling for research domain analysis. Journal of the Korean Society for Information Management, 24(4), 285-303. http://dx.doi.org/10.3743/KOSIM.2007.24.4.285)   과학기술학회마을   DOI   ScienceOn
2 서은경 (1997). 정보학분야 연구동향 분석: 정보관리학회지와 JASIS의 비교분석을 중심으로. 정보관리학회지, 14(1), 269-291. (Seo, Eun-Gyoung (1997). An analytical study on research patterns in information science. Journal of the Korean Society for Information Management, 14(1), 269-291.)   과학기술학회마을
3 서은경 (2010). 정보관리학회지 연구의 동향분석. 정보관리학회지, 27(4), 7-31. http://dx.doi.org/10.3743/KOSIM.2010.27.4.007 (Seo, Eun-Gyoung (2010). Trends analysis on research articles in the Journal of Korean Society for Information Management. Journal of the Korean Society for Information Management, 27(4), 7-31. http://dx.doi.org/10.3743/KOSIM.2010.27.4.007)   과학기술학회마을   DOI   ScienceOn
4 손정표 (2003). 한국의 문헌정보학 분야 연구동향 분석 1957-2002. 한국도서관.정보학회지, 34(3), 9-21. (Sohn, Jung-Pyo (2003). An analytical study on research trends of library and information science in Korea: 1957-2002. Journal of Korean Library and Information Science Society, 34(3), 9-21.)   과학기술학회마을
5 오세훈 (2005). 우리나라 문헌정보학 학술지 논문 및 인용문헌 분석을 통한 연구동향 연구. 정보관리학회지, 22(3), 379-408. http://dx.doi.org/10.3743/KOSIM.2005.22.3.379 (Oh, Se-Hoon (2005). A study on the research trends of library & information science in Korea by analyzing journal articles and the cited literatures. Journal of the Korean Society for Information Management, 22(3), 379-408. http://dx.doi.org/10.3743/KOSIM.2005.22.3.379)   과학기술학회마을   DOI   ScienceOn
6 오세훈, 이두영 (2005). 우리나라의 정보학 연구동향에 관한 연구. 정보관리학회지, 22(1), 167-189. http://dx.doi.org/10.3743/KOSIM.2005.22.1.167 (Oh, Se-Hoon, & Lee, Too-Young (2005). Research trends of information science in Korea. Journal of the Korean Society for Information Management, 22(1), 167-189.)   과학기술학회마을   DOI   ScienceOn
7 이재윤, 문주영, 김희정 (2007). 텍스트마이닝을 이용한 국내 기록관리학 분야 지적구조 분석. 한국문헌정보학회지, 41(1), 345-372. http://dx.doi.org/10.4275/KSLIS.2007.41.1.345 (Lee, Jae Yun, Moon, Ju-Young, & Kim, Hee-Jung (2007). Examining the intellectual structure of records management & archival science in Korea with text mining. Journal of the Korean Society for Library and Information Science, 41(1), 345-372. http://dx.doi.org/10.4275/KSLIS.2007.41.1.345)   과학기술학회마을   DOI   ScienceOn
8 정재영, 박진희 (2011). 한국 문헌정보학의 현장연구 현황 분석. 한국도서관.정보학회지, 42(2), 171-191. (Chung, Jae-Young, & Park, Jin-Hee (2011). Analysis of the trends in the field studies of library and information science in Korea. Journal of Korean Library and Information Science Society, 42(2), 171-191.)   과학기술학회마을
9 정진식 (2001). 한국 문헌정보학 분야의 연구동향 분석, 1996-2000. 한국문헌정보학회지, 35(3), 55-78. (Chung, Jin-Sik (2001). An analytical study on research trends of library and information science in Korea: 1996-2000. Journal of the Korean Society for Library and Information Science, 35(3), 55-78.)   과학기술학회마을
10 조재인 (2011). 네트워크 텍스트 분석을 통한 문헌정보학 최근 연구 경향 분석. 정보관리학회지, 28(4), 65-83. http://dx.doi.org/10.3743/KOSIM.2011.28.4.065 (Cho, Jane (2011). A study for research area of library and information science by network text analysis. Journal of the Korean Society for Information Management, 28(4), 65-83. http://dx.doi.org/10.3743/KOSIM.2011.28.4.065)   과학기술학회마을   DOI   ScienceOn
11 Kao, A. & Poteet, S. R. (Eds.) (2007). Natural language processing and text mining. London: Springer-Verlag.
12 한상완, 조인숙 (1996). 문헌정보학분야 학회지의 논문분석. 도서관, 51(1), 114-139.
13 Blei, D. (2012). Probabilistic topic models. Communications of the ACM, 55(4), 77-84. http://dx.doi.org/10.1145/2133806.2133826   DOI
14 Griffiths, T., & Steyvers, M. (2004). Finding scientific topics, PNAS, 101(1), 5228-5235. http://dx.doi.org/10.1073/pnas.0307752101   DOI   ScienceOn
15 Kim, Heejung, & Lee, Jae Yun (2009). Archiving research trends in LIS domain using profiling analysis. Scientometrics, 80(1), 75-90. http://dx.doi.org/10.1007/s11192-007-1998-z   DOI
16 Mimno, D., & McCallum, A. (2008). Topic models conditioned on arbitrary features with Dirichlet-multinomial regression. Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence (UAI 2008), 411-418.
17 Song, Min, & Kim, Su Yeon (in press). Detecting the knowledge structure of bioinformatics by mining full-text collections. Scientometrics, in press. http://dx.doi.org/10.1007/s11192-012-0900-9   DOI
18 Wang, X., & McCallum, A. (2006). Topics over time: A non-Markov continuous-time model of topical trends. Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '06), 424-433.