Analysis and Results



This chapter will present the results of analyzes conducted on scientific publications and patent documents in two different databases and with three different software tools. In total six datasets are analyzed, of which two were compiled on the basis of a keyword-search (with the example of phytosterols) and the last four on the basis of a keyword-independent classification search (with examples from NFF and ICT). First, each sample will be briefly introduced with a short description of its originating database and used software.


Personal Care Scientific Article Patent Document Japanese Patent Subject Cluster 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    van Raan, A.F.J.: Advanced bibliometric methods to assess research performance and scientific development: Basic principles and recent practical applications. Res. Eval. 3(3), 151–166 (1992)Google Scholar
  2. 2.
    Watts, R.J., Porter, A.L., Newman, N.C.: Innovation forecasting using bibliometrics. Compet. Intell. Rev. 9(4), 11–19 (1998)Google Scholar
  3. 3.
    CAS: SciFinder®: Part of the process™. (2010). Accessed 13 Apr 2010
  4. 4.
    CAS: SciFinder: Part of the research process for universities around the world. (2010). Accessed 13 Apr 2010
  5. 5.
    CAS: IPC7 List I: Guaranteed coverage. (2009). Accessed 13 Apr 2010
  6. 6.
    CAS: SciFinder content at a glance: Biomedical information. (2010). Accessed 13 Apr 2010
  7. 7.
    CAS: SciFinder content at a glance. (2010). Accessed 13 Apr 2010
  8. 8.
    CAS: SciFinder scholar™ how to guides. (2009). Accessed 13 Apr 2010
  9. 9.
    Curran, C.-S., Bröring, S., Leker, J.: Anticipating converging industries using publicly available data. Technol. Forecast. Soc. Change 77(3), 385–395 (2010)Google Scholar
  10. 10.
    Curran, C.-S., Bröring, S., Leker, J.: Patent analysis for the anticipation of converging industries. In: R&D management conference 2008, Ottawa, Canada, 17–20 June 2008Google Scholar
  11. 11.
    Curran, C.-S., Leker, J.: Patent indicators for monitoring convergence—examples from NFF and ICT. Technological Forecasting and Social Change 78(2), 256–273 (2011). doi: 10.1016/j.techfore.2010.06.021
  12. 12.
    Fischer, G., Lalyre, N.: Analysis and visualisation with host-based software: The features of STN® AnaVist™. World Pat. Inf. 28, 312–318 (2006)Google Scholar
  13. 13.
    Yang, Y., Akers, L., Klose, T., Barcelon Yang, C.: Text mining and visualization tools: Impressions of emerging capabilities. World Pat. Inf. 30, 280–293 (2008)Google Scholar
  14. 14.
    STN International: STN AnaVist: Analysis and visualization software for information professionals. (2010). Accessed 16 Apr 2010
  15. 15.
    STN International: STN express with discover! (2010). Accessed 16 Apr 2010
  16. 16.
    Curran, C.-S., Leker, J.: Employing STN AnaVist to Forecast Converging Industries. Int. J Innov. Manag. 13(4), 637–664 (2009). doi: 10.1142/S1363919609002455
  17. 17.
    WIPO: International patent classification. (2009)Google Scholar
  18. 18.
    Curran, C.-S., Leker, J.: Seeing the next iPhone coming your way: How to anticipate converging industries. In: Kocaoglu, D.F., Anderson, T.R., Daim, T.U., Jetter, A., Weber, C.M. (eds.) PICMET ‘09, Technology management in the age of fundamental change, Portland (OR), USA, 02–06 Aug 2009, pp. 383–395Google Scholar
  19. 19.
    STN International: INPADOCDB: The international patent DOCumentation DataBase, INPAFAMDB: The international patent FAMily DataBase: Handbook. pp. 1–242. Karlsruhe, Germany, (2010)Google Scholar
  20. 20.
    Curran, C.-S., John, G.M., Leker, J.: Finding the Convergence-Needle in the Patent-Haystack. In: Hosni, Y. (ed.) 19th International conference for the international association of management of technology: Technology as the foundation for economic growth, Cairo, Egypt, 08–11 Mar 2010, pp. 1–20Google Scholar

Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Fresenius Medical Care AG & Co. KGaABad HomburgGermany

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