과학기술 논문의 참고문헌 텍스트 정보를 활용한 기술의 군집화

• 영문명: Technology Clustering Using Textual Information of Reference Titles in Scientific Paper
• 발행기관: 한국산업경영시스템학회
• 저자명: 박인채(Inchae Park) 김송희(Songhee Kim) 윤병운(Byungun Yoon)
• 간행물 정보: 『산업경영시스템학회지』제43권 제2호, 25~32쪽, 전체 8쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2020.06.30

영문 초록

Data on patent and scientific paper is considered as a useful information source for analyzing technological information and has been widely utilized. Technology big data is analyzed in various ways to identify the latest technological trends and predict future promising technologies. Clustering is one of the ways to discover new features by creating groups from technology big data. Patent includes refined bibliographic information such as patent classification code whereas scientific paper does not have appropriate bibliographic information for clustering. This research proposes a new approach for clustering data of scientific paper by utilizing reference titles in each scientific paper. In this approach, the reference titles are considered as textual information because each reference consists of the title of the paper that represents the core content of the paper. We collected the scientific paper data, extracted the title of the reference, and conducted clustering by measuring the text-based similarity. The results from the proposed approach are compared with the results using existing methodologies that one is the approach utilizing textual information from titles and abstracts and the other one is a citation-based approach. The suggested approach in this paper shows statistically significant difference compared to the existing approaches and it shows better clustering performance. The proposed approach will be considered as a useful method for clustering scientific papers.

목차

1. 서 론

2. 이론적 배경

3. 연구 프레임워크

4. 결 과

5. 결 론

Acknowledgement

References

키워드

Technology Clustering Technology Data Analysis Scientific Paper Reference Data