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@article{ART002391656},
author={Jeong Do-heon and Joo Hwang-Soo},
title={Discovering Interdisciplinary Convergence Technologies Using Content Analysis Technique Based on Topic Modeling},
journal={Journal of the Korean Society for Information Management},
issn={1013-0799},
year={2018},
volume={35},
number={3},
pages={77-100},
doi={10.3743/KOSIM.2018.35.3.077}

TY - JOUR
AU - Jeong Do-heon
AU - Joo Hwang-Soo
TI - Discovering Interdisciplinary Convergence Technologies Using Content Analysis Technique Based on Topic Modeling
JO - Journal of the Korean Society for Information Management
PY - 2018
VL - 35
IS - 3
PB - 한국정보관리학회
SP - 77
EP - 100
SN - 1013-0799
AB - The objectives of this study is to present a discovering process of interdisciplinary convergence technology using text mining of big data. For the convergence research of biotechnology(BT) and information communications technology (ICT), the following processes were performed. (1) Collecting sufficient meta data of research articles based on BT terminology list. (2) Generating intellectual structure of emerging technologies by using a Pathfinder network scaling algorithm. (3) Analyzing contents with topic modeling. Next three steps were also used to derive items of BT-ICT convergence technology. (4) Expanding BT terminology list into superior concepts of technology to obtain ICT-related information from BT. (5) Automatically collecting meta data of research articles of two fields by using OpenAPI service. (6) Analyzing contents of BT-ICT topic models. Our study proclaims the following findings. Firstly, terminology list can be an important knowledge base for discovering convergence technologies. Secondly, the analysis of a large quantity of literature requires text mining that facilitates the analysis by reducing the dimension of the data. The methodology we suggest here to process and analyze data is efficient to discover technologies with high possibility of interdisciplinary convergence.
KW - convergence technology;emerging technology;intellectual structure;topic modeling;content analysis
DO - 10.3743/KOSIM.2018.35.3.077
ER -

Jeong Do-heon and Joo Hwang-Soo. (2018). Discovering Interdisciplinary Convergence Technologies Using Content Analysis Technique Based on Topic Modeling. Journal of the Korean Society for Information Management, 35(3), 77-100.

Jeong Do-heon and Joo Hwang-Soo. 2018, "Discovering Interdisciplinary Convergence Technologies Using Content Analysis Technique Based on Topic Modeling", Journal of the Korean Society for Information Management, vol.35, no.3 pp.77-100. Available from: doi:10.3743/KOSIM.2018.35.3.077

Jeong Do-heon, Joo Hwang-Soo "Discovering Interdisciplinary Convergence Technologies Using Content Analysis Technique Based on Topic Modeling" Journal of the Korean Society for Information Management 35.3 pp.77-100 (2018) : 77.

Jeong Do-heon, Joo Hwang-Soo. Discovering Interdisciplinary Convergence Technologies Using Content Analysis Technique Based on Topic Modeling. 2018; 35(3), 77-100. Available from: doi:10.3743/KOSIM.2018.35.3.077

Jeong Do-heon and Joo Hwang-Soo. "Discovering Interdisciplinary Convergence Technologies Using Content Analysis Technique Based on Topic Modeling" Journal of the Korean Society for Information Management 35, no.3 (2018) : 77-100.doi: 10.3743/KOSIM.2018.35.3.077

Jeong Do-heon; Joo Hwang-Soo. Discovering Interdisciplinary Convergence Technologies Using Content Analysis Technique Based on Topic Modeling. Journal of the Korean Society for Information Management, 35(3), 77-100. doi: 10.3743/KOSIM.2018.35.3.077

Jeong Do-heon; Joo Hwang-Soo. Discovering Interdisciplinary Convergence Technologies Using Content Analysis Technique Based on Topic Modeling. Journal of the Korean Society for Information Management. 2018; 35(3) 77-100. doi: 10.3743/KOSIM.2018.35.3.077

Jeong Do-heon, Joo Hwang-Soo. Discovering Interdisciplinary Convergence Technologies Using Content Analysis Technique Based on Topic Modeling. 2018; 35(3), 77-100. Available from: doi:10.3743/KOSIM.2018.35.3.077

Jeong Do-heon and Joo Hwang-Soo. "Discovering Interdisciplinary Convergence Technologies Using Content Analysis Technique Based on Topic Modeling" Journal of the Korean Society for Information Management 35, no.3 (2018) : 77-100.doi: 10.3743/KOSIM.2018.35.3.077