@article{ART002480159},
author={Heo Go Eun and Min Song},
title={Knowledge Trend Analysis of Uncertainty in Biomedical Scientific Literature},
journal={Journal of the Korean Society for Information Management},
issn={1013-0799},
year={2019},
volume={36},
number={2},
pages={175-199},
doi={10.3743/KOSIM.2019.36.2.175}
TY - JOUR
AU - Heo Go Eun
AU - Min Song
TI - Knowledge Trend Analysis of Uncertainty in Biomedical Scientific Literature
JO - Journal of the Korean Society for Information Management
PY - 2019
VL - 36
IS - 2
PB - 한국정보관리학회
SP - 175
EP - 199
SN - 1013-0799
AB - Uncertainty means incomplete stages of knowledge of propositions due to the lack of consensus of information and existing knowledge. As the amount of academic literature increases exponentially over time, new knowledge is discovered as research develops. Although the flow of time may be an important factor to identify patterns of uncertainty in scientific knowledge, existing studies have only identified the nature of uncertainty based on the frequency in a particular discipline, and they did not take into consideration of the flow of time. Therefore, in this study, we identify and analyze the uncertainty words that indicate uncertainty in the scientific literature and investigate the stream of knowledge. We examine the pattern of biomedical knowledge such as representative entity pairs, predicate types, and entities over time. We also perform the significance testing using linear regression analysis. Seven pairs out of 17 entity pairs show the significant decrease pattern statistically and all 10 representative predicates decrease significantly over time. We analyze the relative importance of representative entities by year and identify entities that display a significant rising and falling pattern.
KW - text mining;uncertainty;semantic predication;burstiness;trend analysis
DO - 10.3743/KOSIM.2019.36.2.175
ER -
Heo Go Eun and Min Song. (2019). Knowledge Trend Analysis of Uncertainty in Biomedical Scientific Literature. Journal of the Korean Society for Information Management, 36(2), 175-199.
Heo Go Eun and Min Song. 2019, "Knowledge Trend Analysis of Uncertainty in Biomedical Scientific Literature", Journal of the Korean Society for Information Management, vol.36, no.2 pp.175-199. Available from: doi:10.3743/KOSIM.2019.36.2.175
Heo Go Eun, Min Song "Knowledge Trend Analysis of Uncertainty in Biomedical Scientific Literature" Journal of the Korean Society for Information Management 36.2 pp.175-199 (2019) : 175.
Heo Go Eun, Min Song. Knowledge Trend Analysis of Uncertainty in Biomedical Scientific Literature. 2019; 36(2), 175-199. Available from: doi:10.3743/KOSIM.2019.36.2.175
Heo Go Eun and Min Song. "Knowledge Trend Analysis of Uncertainty in Biomedical Scientific Literature" Journal of the Korean Society for Information Management 36, no.2 (2019) : 175-199.doi: 10.3743/KOSIM.2019.36.2.175
Heo Go Eun; Min Song. Knowledge Trend Analysis of Uncertainty in Biomedical Scientific Literature. Journal of the Korean Society for Information Management, 36(2), 175-199. doi: 10.3743/KOSIM.2019.36.2.175
Heo Go Eun; Min Song. Knowledge Trend Analysis of Uncertainty in Biomedical Scientific Literature. Journal of the Korean Society for Information Management. 2019; 36(2) 175-199. doi: 10.3743/KOSIM.2019.36.2.175
Heo Go Eun, Min Song. Knowledge Trend Analysis of Uncertainty in Biomedical Scientific Literature. 2019; 36(2), 175-199. Available from: doi:10.3743/KOSIM.2019.36.2.175
Heo Go Eun and Min Song. "Knowledge Trend Analysis of Uncertainty in Biomedical Scientific Literature" Journal of the Korean Society for Information Management 36, no.2 (2019) : 175-199.doi: 10.3743/KOSIM.2019.36.2.175
