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The beauty of brimstone butterfly: novelty of patents identified by near environment analysis based on text mining

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  • Lothar Walter

    (University of Bremen)

  • Alfred Radauer

    (Technopolis Group Austria)

  • Martin G. Moehrle

    (University of Bremen)

Abstract

The novelty of a patent may be seen as those patterns that distinguishes it from other patents and scientific literature. Its understanding may serve for many purposes, both in scientometric research and in the management of technological information. While many methods exist that deal with a patent’s meta-information like citation networks or co-classification analysis, the analysis of novelty in the full text of a patent is still at the beginning of research and in practice a time-consuming manual task. The question we pose is whether computer-based text mining methods are able to identify those elements of such a patent that make it novel from a technological and application/market perspective. For this purpose we introduce and operationalize the concept of near environment analysis and use a three-step text mining approach on one of the patents nominated as finalist in the 2012 European Inventor Award contest. We demonstrate that such an approach is able to single out, content-wise in a near environment, the novelty of the patent. The method can be used also for other patents and—with adaption of the near environment analysis—for scientific literature.

Suggested Citation

  • Lothar Walter & Alfred Radauer & Martin G. Moehrle, 2017. "The beauty of brimstone butterfly: novelty of patents identified by near environment analysis based on text mining," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 103-115, April.
    • Handle: RePEc:spr:scient:v:111:y:2017:i:1:d:10.1007_s11192-017-2267-4
    DOI: 10.1007/s11192-017-2267-4
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    1. D.N.P. Murthy & W.R. Blischke, 2010. "Warranty data and effective warranty management," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 12(3/4), pages 202-219.
    2. Trippe, Anthony J., 2003. "Patinformatics: Tasks to tools," World Patent Information, Elsevier, vol. 25(3), pages 211-221, September.
    3. Unknown, 2010. "Cover and Contents Pages," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 39(3), pages 1-4, October.
    4. Chen, Ssu-Han & Huang, Mu-Hsuan & Chen, Dar-Zen, 2012. "Identifying and visualizing technology evolution: A case study of smart grid technology," Technological Forecasting and Social Change, Elsevier, vol. 79(6), pages 1099-1110.
    5. Unknown, 2010. "Cover and Contents Pages," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 39(2), pages 1-4, April.
    6. Ronel Elul & Nicholas S. Souleles & Souphala Chomsisengphet & Dennis Glennon & Robert Hunt, 2010. "What "Triggers" Mortgage Default?," American Economic Review, American Economic Association, vol. 100(2), pages 490-494, May.
    7. ., 2010. "India’s Engagement with the World Economy," Chapters, in: Bilateral Trade Agreements in the Era of Globalization, chapter 3, Edward Elgar Publishing.
    8. Moehrle, Martin G. & Walter, Lothar & Bergmann, Isumo & Bobe, Sebastian & Skrzipale, Svenja, 2010. "Patinformatics as a business process: A guideline through patent research tasks and tools," World Patent Information, Elsevier, vol. 32(4), pages 291-299, December.
    9. Martin G. Moehrle & Jan M. Gerken, 2012. "Measuring textual patent similarity on the basis of combined concepts: design decisions and their consequences," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 805-826, June.
    10. Gaby A. C. Schellekens & Peeter W. J. Verlegh & Ale Smidts, 2010. "Language Abstraction in Word of Mouth," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 207-223, August.
    11. Sudheer Chava & Praveen Kumar & Arthur Warga, 2010. "Managerial Agency and Bond Covenants," The Review of Financial Studies, Society for Financial Studies, vol. 23(3), pages 1120-1148, March.
    12. Yang, YunYun & Akers, Lucy & Klose, Thomas & Barcelon Yang, Cynthia, 2008. "Text mining and visualization tools - Impressions of emerging capabilities," World Patent Information, Elsevier, vol. 30(4), pages 280-293, December.
    13. Unknown, 2010. "Cover and Contents Pages," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 39(1), pages 1-4, February.
    14. Martin G. Moehrle, 2010. "Measures for textual patent similarities: a guided way to select appropriate approaches," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 95-109, October.
    15. Jouke de Vries, 2010. "Is New Public Management Really Dead?," OECD Journal on Budgeting, OECD Publishing, vol. 10(1), pages 1-5.
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    Cited by:

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    3. Luobing Dong & Qiumin Guo & Weili Wu, 2019. "Speech corpora subset selection based on time-continuous utterances features," Journal of Combinatorial Optimization, Springer, vol. 37(4), pages 1237-1248, May.
    4. Hei Chia Wang & Yung Chang Chi & Ping Lun Hsin, 2018. "Constructing Patent Maps Using Text Mining to Sustainably Detect Potential Technological Opportunities," Sustainability, MDPI, vol. 10(10), pages 1-18, October.
    5. Moehrle, Martin G. & Frischkorn, Jonas, 2021. "Bridge strongly or focus – An analysis of bridging patents in four application fields of carbon fiber reinforcements," Journal of Informetrics, Elsevier, vol. 15(2).
    6. Moehrle, Martin G. & Caferoglu, Hüseyin, 2019. "Technological speciation as a source for emerging technologies. Using semantic patent analysis for the case of camera technology," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 776-784.

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