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.
|