발간년도 : [2024]
| 논문정보 |
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| 논문명(한글) |
[Vol.19, No.3] A Study on Emerging Technologies Analysis Methods Based on Patent Big Data |
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| 논문투고자 |
Minki Kim, Youbean Kim, Seungsu Chun, Miyoung Hong |
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| 논문내용 |
Based on patent information (U.S. registered patents), we have developed an analysis method to explore emerging keywords and related technology trends with high future technological value. This method is based on indicators of novelty, growth, and impact. We apply the indicators and algorithms of the "Emerging Issue Search Methodology," utilizing previously researched thesis bibliographic information. Our goal is to develop a patent data-based methodology specialized in technology development trend analysis, particularly tailored for patent information, and apply it to the hydrogen fuel cell field. We search and utilize patent information related to hydrogen fuel cells from 2011 to 2023 in the U.S. registered patent database. Search keywords, consisting of two to three words, are derived from patent titles, summaries, and representative claims. These keywords are then applied to the emerging keyword search algorithm. Subsequently, based on patent data and search keywords related to hydrogen fuel cells, we conduct a primary analysis of novelty, growth, and impact to select keywords with high value as emerging technologies, as well as ripple keywords in other related fields. In this process, we generate basic data on the technology of emerging/related keywords and issues that should be noted as a emerging technology with technology experts. The selected emerging/related keyword combination analyzed the trends and examples of emerging technology in the field of hydrogen fuel cell through analysis based on large language models(LLM) with patent information in the last three years. |
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