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Development of Informetric Model to Identify Emerging Technologies

부상기술 도출의 계량정보학적 분석모델 개발

  • 박현우 (한국과학기술정보연구원 계량정보분석팀) ;
  • 이창환 (한국과학기술정보연구원 계량정보분석팀) ;
  • 여운동 (한국과학기술정보연구원 계량정보분석팀)
  • Published : 2007.12.31

Abstract

Patent data have both properties of technological and industrial information. They satisfy explicit requirements for originality, technological validity, and commercial value. They comprise all fields of innovation for a long period of time. They show their own qualitative importance by forward citation of them. In this paper, we attempt to establish and apply an analytical model and process based on informetric approach using patent information in order to predict emerging technologies which have the possibility of industrial development in the future.

특허 데이터는 기술적 속성과 시장 측면을 모두 보유하고 있어서, 독창성, 기술적 타당성 및 상업적 가치의 명시적인 기준을 충족시키고 있고, 실제로 장기간에 걸쳐 혁신의 모든 분야를 포괄하고 있으며, 특허당 인용횟수는 양적인 빈도뿐만 아니라 특허의 질적 중요성을 나타내준다. 본고에서는 특허 정보의 분석을 통한 계량정보학적인 접근방법을 적용함으로써 미래에 산업적으로 새롭게 발전할 가능성이 있는 부상기술을 도출하기 위한 분석모델과 방법론을 설정하고, 세계특허를 대상으로 적용함으로써 미래에 등장할 부상기술을 도출하고자 한다.

Keywords

References

  1. 박현우. 2006. 과학기술 지삭흐름과 기술혁신 추세분석. 지식정영연구, 7(2): 43-62.
  2. 윤문섭 외. 2004. 국가연구개발의 전력기획을 위한 새로운 연구기획방법론 개발: 기술 로브 맵(TRM)과 지식맵(KM)의 통합적 접근. 서울: 과학기술정책연구원.
  3. 이상필, 이창환, 손은수, 이혁재, 강종석, 여운동. 2006. 유망연구영역 선정모델 연구. 서울: 한국과학기술정보연구원.
  4. 後藤晃, 立場公規, 鈴木潤, 玉田俊平太. 2006. 重要特許 判別指標. RIETI Discussion Paper Series 06-J-018.
  5. 藤垣裕子, 平川秀幸, 富澤宏之, 訶麻佐志, 相隆之, 牧野淳一郎. 2004. 研究評價.科學論のた ぬの科學計量學入門. 東京: 丸善株式會社.
  6. Albert, M. B., D. Avery, F. Narin, and P. McAllister. 1991. "Direct Validation of Citation Counts as Indicators of Industrially Important Patents." Research Policy, 20: 251-259. https://doi.org/10.1016/0048-7333(91)90055-U
  7. Archibugi, D. 1992. "Patenting as an Indicator of Technological Innovation: A Review." Science and Public Policy, 19(6): 357-368.
  8. Carpenter, Mark P., F. Narin, and W. Patricia. 1981. "Citation Rates to Technologically Important." World Patent Information, 3(4): 160-163. https://doi.org/10.1016/0172-2190(81)90098-3
  9. Corrocher, N. F. Malerba and F. Montobbio 2003. "The Emergence of New Technologies in the ICT Field: Main Actors, Geographical Distribution, and Knowledge Sources." Economics and Quantitative Methods: qf0317.
  10. Day, G. S. and P. J. H. Schoemaker. 2000. "A Different Game." in G. S. Day and P. J. H. Schoemaker. eds. Wharton on Managing Emerging Technologies. New York: John Wiley and Sons.
  11. Garfield, E, et al. 1993. Essays of an Information Scientist, No. 19.
  12. Harhoff, F. M. Scherer, and Kartrin Vopel. 2003. "Citations, Family Size, Opposition and the Value of Patent Rights." Research Policy, 32: 1343-1363. https://doi.org/10.1016/S0048-7333(02)00124-5
  13. Harhoff, F. Narin, F. M. Scherer, and Kartrin Vopel. 1999. "Citation Frequency and the Value of Patented Inventions." Review of Economics and Statistics, 81(3): 511-515. https://doi.org/10.1162/003465399558265
  14. Hung S, C. and Y. Y. Chu. 2006. "Stimulating New Industries from Emerging Technologies: Challenges for the Public Sector." Technovation, 26(1): 104-110. https://doi.org/10.1016/j.technovation.2004.07.018
  15. Kontostathis, A., L. Galitsky, W. M. Pottenger, S. Roy, D. J. Phelps. 2003. "A Survey of Emerging Trend Detection in Textual Data Mining." in Michael Berry, ed A Comprehensive Survey of Text Mining. Springer-Verlag, 1-44.
  16. Meyer, Martin. 2000. "Does Science Push Technology? Patents Citing Scientific Literature." Research Policy, 29: 409-434. https://doi.org/10.1016/S0048-7333(99)00040-2
  17. Narin, F., E. Noma and R. Perry. 1987. "Patents as Indicators of Corporate Technological Strength." Research Policy, 16(2/4): 143-155. https://doi.org/10.1016/0048-7333(87)90028-X
  18. Pavitt, K. 1998. Do Patents Reflect the Useful Research Output of Universities? SPRU: Electronic Working Paper Series No. 6.
  19. Porter, A. L., D. Roessner, X, Y. Jin and N. C. Newman. 2002. "Measuring National Emerging Technology Capabilities." Science and Technology Policy, 29(3): 189-200.
  20. Silberglitt, R., P. S. Anton, D. R. Howell, and A. Wong. 2006. The Global Technology Revolution 2020, In-Depth Analyses: Bio / Nano / Materials / Information Trends, Drivers, Barriers, and Social Implications. CA: Rand Corporation.
  21. Ramani, Shyama and Marie-Angele de Looze. 2002. "Using Patent Statistics as Knowledge Base Indicators in the Biotechnology Sectors: An Application to France, Germany and the U. K." Scientometrics, 54(3): 319-346. https://doi.org/10.1023/A:1016026314914
  22. Small, Henry, 1973. "Co-citation in the Scientific Literature: A New Measure of the Relationship between Two Documents." Journal of the American Society for Information Science, 24: 265-269. https://doi.org/10.1002/asi.4630240406
  23. Small, Henry. 1985, "Clustering the Science Citation Index Using Co-citations." Scientometrics, 7: 391-409.
  24. Willett, P. 1983. "Recent Trends in Hierarchic Document Clustering: A Critical Review." Information Processing & Management, 24(5): 577-597. https://doi.org/10.1016/0306-4573(88)90027-1
  25. Yoon, B. and Y. Park. 2005. "A Systematic Approach for Identifying Technology Opportunities : Keyword-based Morphology Analysis." Technological Forecasting & Social Change, 2: 145-160. .