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http://dx.doi.org/10.15683/kosdi.2022.6.30.418

A New Scheme Exploiting the Related Keyword and Big Data Analysis for Predicting Promise Technology in the Field of Satellite·Terrestrial Information Convergence Disaster Response  

Lee, Hangwon (Electronic Engineering Department, Kwangwoon University)
Kim, Youngok (Electronic Engineering Department, Kwangwoon University)
Publication Information
Journal of the Society of Disaster Information / v.18, no.2, 2022 , pp. 418-431 More about this Journal
Abstract
Purpose: We propose a new scheme for predicting promise technology and it improves the conventional scheme that misses important lists of patent because of insufficient search formula, and cannot reflect new trend of technology due to the unreleased period of patents. Method: In this paper, we propose a new search formula exploiting TF and TF-IDF with R programming as well as related keywords, and LDA topic modeling scheme is used for analyzing recently published papers in Satellite·Terrestrial Information Convergence Disaster Response. Result: By comparing both schemes with commercial DB, the proposed scheme can find more important patents, and can reflect new trend of technology, compared to the conventional scheme. Conclusion: The proposed scheme can be used to predict promise technologies in the field of Satellite·Terrestrial Information Convergence Disaster Response.
Keywords
Satellite; Terrestrial; Convergence; Big Data; Topic Modeling; Promising Tech;
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Times Cited By KSCI : 5  (Citation Analysis)
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