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@article{ART002450405},
author={Heo Go Eun},
title={The Stream of Uncertainty in Scientific Knowledge using Topic Modeling},
journal={Journal of the Korean Society for Information Management},
issn={1013-0799},
year={2019},
volume={36},
number={1},
pages={191-213},
doi={10.3743/KOSIM.2019.36.1.191}

TY - JOUR
AU - Heo Go Eun
TI - The Stream of Uncertainty in Scientific Knowledge using Topic Modeling
JO - Journal of the Korean Society for Information Management
PY - 2019
VL - 36
IS - 1
PB - 한국정보관리학회
SP - 191
EP - 213
SN - 1013-0799
AB - The process of obtaining scientific knowledge is conducted through research. Researchers deal with the uncertainty of science and establish certainty of scientific knowledge. In other words, in order to obtain scientific knowledge, uncertainty is an essential step that must be performed. The existing studies were predominantly performed through a hedging study of linguistic approaches and constructed corpus with uncertainty word manually in computational linguistics. They have only been able to identify characteristics of uncertainty in a particular research field based on the simple frequency. Therefore, in this study, we examine pattern of scientific knowledge based on uncertainty word according to the passage of time in biomedical literature where biomedical claims in sentences play an important role. For this purpose, biomedical propositions are analyzed based on semantic predications provided by UMLS and DMR topic modeling which is useful method to identify patterns in disciplines is applied to understand the trend of entity based topic with uncertainty. As time goes by, the development of research has been confirmed that uncertainty in scientific knowledge is moving toward a decreasing pattern.
KW - text mining;uncertainty;DMR topic modeling;semantic predication;trend analysis
DO - 10.3743/KOSIM.2019.36.1.191
ER -

Heo Go Eun. (2019). The Stream of Uncertainty in Scientific Knowledge using Topic Modeling. Journal of the Korean Society for Information Management, 36(1), 191-213.

Heo Go Eun. 2019, "The Stream of Uncertainty in Scientific Knowledge using Topic Modeling", Journal of the Korean Society for Information Management, vol.36, no.1 pp.191-213. Available from: doi:10.3743/KOSIM.2019.36.1.191

Heo Go Eun "The Stream of Uncertainty in Scientific Knowledge using Topic Modeling" Journal of the Korean Society for Information Management 36.1 pp.191-213 (2019) : 191.

Heo Go Eun. The Stream of Uncertainty in Scientific Knowledge using Topic Modeling. 2019; 36(1), 191-213. Available from: doi:10.3743/KOSIM.2019.36.1.191

Heo Go Eun. "The Stream of Uncertainty in Scientific Knowledge using Topic Modeling" Journal of the Korean Society for Information Management 36, no.1 (2019) : 191-213.doi: 10.3743/KOSIM.2019.36.1.191

Heo Go Eun. The Stream of Uncertainty in Scientific Knowledge using Topic Modeling. Journal of the Korean Society for Information Management, 36(1), 191-213. doi: 10.3743/KOSIM.2019.36.1.191

Heo Go Eun. The Stream of Uncertainty in Scientific Knowledge using Topic Modeling. Journal of the Korean Society for Information Management. 2019; 36(1) 191-213. doi: 10.3743/KOSIM.2019.36.1.191

Heo Go Eun. The Stream of Uncertainty in Scientific Knowledge using Topic Modeling. 2019; 36(1), 191-213. Available from: doi:10.3743/KOSIM.2019.36.1.191

Heo Go Eun. "The Stream of Uncertainty in Scientific Knowledge using Topic Modeling" Journal of the Korean Society for Information Management 36, no.1 (2019) : 191-213.doi: 10.3743/KOSIM.2019.36.1.191