Visualization of patent analysis for emerging technology

Expert Systems with Applications

Volumn 34, Issue 3, 2008, Pages 1804-1812

  Kim, Young Gil ^a   Suh, Jong Hwan ^a   Park, Sang Chan ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

k Means clustering; Patent analysis; Semantic network; Ubiquitous computing technology; Visualization

Indexed keywords

ALGORITHMS; DATA VISUALIZATION; INFORMATION ANALYSIS; SEMANTICS; UBIQUITOUS COMPUTING;

K-MEANS CLUSTERING; PATENT ANALYSIS; SEMANTIC NETWORKS; UBIQUITOUS COMPUTING TECHNOLOGY;

PATENTS AND INVENTIONS;

EID: 37448998621     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.01.033     Document Type: Article

References (19)

1. Black, D., & Ciccolo, P. (2004) Machine learning for patent classification.
2. Camus C., and Brancaleon R. Intellectual assets management: From patents to knowledge. World Patent Information 25 2 (2003) 155-159
3. Clemons, E. K., & Hitt, L. M. (2000). The Internet and the future of financial services: Transparency, differential pricing, disintermediation. Discussion Draft, University of Pennsylvania, The Warton School.
4. Fall C.J., Törcsvári A., Fiévet P., and Karetka G. Automated categorization of German-language patent documents. Expert Systems with Applications 26 2 (2004) 269-277
5. Fattori M., Pedrazzi G., and Turra R. Text mining applied to patent mapping: A practical business case. World Patent Information 25 4 (2003) 335-342
6. Fleisch, E. (2005). Ubiquitous network societies: Their impact on the telecommunication industry. Background Paper in ITU Workshop.
7. Ganapathy S., Ranganathan C., and Sankaranarayanan B. Visualization strategies and tools for enhancing customer relationship management. Communication of ACM 47 11 (2004) 92-99
8. Japan Institute of Invention and Innovation. (2000). Guide book for practical use of patent map for each technology field.
9. Lamirel, J. C., Shehabi, S. A., Hoffmann, M., & Francois, C. (2002). Intelligent patent analysis through the use of a neural network: Experiment of multi-view point analysis with the MultiSom model. In Proceedings of the ACL-2003 workshop on patent corpus processing.
10. Liu S.J. A route to a strategic intelligence of industrial competitiveness. The first Asia-Pacific Conference on Patent Maps (2003) 2-13
11. Morris S., DeYong C., Wu Z., Salman S., and Yemenu D. DIVA: A visualization system for exploring documents databases for technology forecasting. Computers & Industrial Engineering 43 4 (2002) 841-862
12. Müller, C. D., & Zimmermann, H. D. (2002). Beyond mobile: Research topics for upcoming technologies in the insurance industry. In Proceedings of the 36th Hawaii international conference on system sciences.
13. Ryoo, J. H., & Kim, I. G. (2005). Workshop H - What patent analysis can tell about companies in Korea, Far East Meets West in Vienna.
14. Trappey A.J.C., Hsu F.C., Trappey C.V., and Lin C.I. Development of a patent document classification and search platform using a back-propagation network. Expert Systems with Applications 31 4 (2006) 755-765
15. Tseng, Y. H., Wang, Y. M., Juang, D. W., & Lin, C. J. (2005). Text mining for patent map analysis. In IACIS Pacific 2005 conference proceedings (pp. 1109-1116).
16. Weiser M. The computer of the twenty-first century. Scientific America (1991) 94-100
17. Westphal C., and Blaxton T. Data mining solution (1998), Wiley, New York
18. WIPO. (2003). Patent map with exercises (related). WIPO-MOST intermediate training course on practical intellectual property issues in business, Theme 16.
19. Yoon B., and Park Y. A text-mining-based patent network: Analytic tool for high-technology trend. The Journal of High Technology Management Research 15 1 (2004) 37-50