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  • 1 Institute of Project Management and Innovation (IPMI), University of Bremen, Wilhelm-Herbst-Str.12, 28359 Bremen, Germany
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Abstract

Given that in terms of technology novel inventions are crucial factors for companies; this article contributes to the identification of inventions of high novelty in patent data. As companies are confronted with an information overflow, and having patents reviewed by experts is a time-consuming task, we introduce a new approach to the identification of inventions of high novelty: a specific form of semantic patent analysis. Subsequent to the introduction of the concept of novelty in patents, the classical method of semantic patent analysis will be adapted to support novelty measurement. By means of a case study from the automotive industry, we corroborate that semantic patent analysis is able to outperform available methods for the identification of inventions of high novelty. Accordingly, semantic patent information possesses the potential to enhance technology monitoring while reducing both costs and uncertainty in the identification of inventions of high novelty.

  • Achilladelis, B, Schwarzkopf, A, Cines, M 1987 A study of innovation in the pesticide industry: Analysis of the innovation record of an industrial sector. Research Policy 16 2–4 175212 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Achilladelis, B, Schwarzkopf, A, Cines, M 1990 The dynamics of technological innovation: The case of the chemical industry. Research Policy 19 1 134 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ahuja, G, Lampert, CM 2001 Entrepreneurship in the large corporation: A longitudinal study of how established firms create breakthrough inventions. Strategic Management Journal 22 6–7 521544 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • An, XY, Wu, QQ 2011 Co-word analysis of the trends in stem cells field based on subject heading weighting. Scientometrics 88 1 133144 .

  • Andersen, B 1999 The hunt for S-shaped growth paths in technological innovation: A patent study. Journal of Evolutionary Economics 9 4 487526 .

  • Anderson, P, Tushman, ML 1990 Technological discontinuities and dominant designs: A cyclical model of technological change. Administrative Science Quarterly 35 4 604633 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bergmann, I, Butzke, D, Walter, L, Fuerste, JP, Moehrle, MG, Erdmann, VA 2008 Evaluating the risk of patent infringement by means of semantic patent analysis: The case of DNA-chips. R&D Management 38 5 550562 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Buehl, A. (2010). PASW 18: Einführung in die moderne Datenanalyse (12th ed.). München: Pearson Studium.

  • Callon, M, Courtial, JP, Laville, F 1991 Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemistry. Scientometrics 22 1 155205 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cascini, G, Fantechi, A, Spinicci, E 2004 Natural language processing of patents and technical documentation S Marinai A Dengel eds. Document analysis systems VI Springer Berlin 8992.

    • Search Google Scholar
    • Export Citation
  • Chandy, RK, Tellis, GJ 1998 Organizing for radical product innovation: The overlooked role of willingness to cannibalize. Journal of Marketing Research 35 4 474487 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Choi, S, Yoon, J, Kim, K, Lee, JY, Kim, C 2011 SAO network analysis of patents for technology trends identification: A case study of polymer electrolyte membrane technology in proton exchange membrane fuel cells. Scientometrics 88 3 863883 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Christensen, CM, Overdorf, M 2000 Meeting the challenge of disruptive change. Harvard Business Review 78 2 6677.

  • Dahlin, KB, Behrens, DM 2005 When is an invention really radical? Defining and measuring technological radicalness. Research Policy 34 5 717737 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Debackere, K, Verbeek, A, Luwel, M, Zimmermann, E 2002 Measuring the progress and evolution in science and technology—II: The multiple uses of technometric indicators. International Journal of Management Reviews 4 3 213231 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Egghe, L 2000 The distribution of N-grams. Scientometrics 47 2 237252 .

  • Engelsman, EC AFJ van Raan 1994 A patent-based cartography of technology. Research Policy 23 1 126 .

  • Fendt, H 1988 Technische Trends rechtzeitig erkennen—Patentschriften gewähren Blicke hinter die Kulissen von F&E. Havard Manager 10 4 7280.

    • Search Google Scholar
    • Export Citation
  • Fleming, L 2001 Recombinant uncertainty in technological search. Management Science 1:117132 .

  • Fleming, L, Mingo, S, Chen, D 2007 Collaborative brokerage, generative creativity, and creative success. Administrative Science Quarterly 52 3 443.

    • Search Google Scholar
    • Export Citation
  • Fleming, L, Sorenson, O 2001 Technology as a complex adaptive system: Evidence from patent data. Research Policy 30 7 10191039 .

  • Frietsch, R. (2007). Patente in Europa und der Triade: Strukturen und deren Veränderung. Karlsruhe: Fraunhofer Institut für System- und Innovationsforschung.

    • Search Google Scholar
    • Export Citation
  • Gerken, J. M., Moehrle, M. G., & Walter, L. (2010a). Patents as an information source for product forecasting: Insights from a longitudinal study in the automotive industry. R&D Management Conference 2010 Proceedings. Manchester.

    • Search Google Scholar
    • Export Citation
  • Gerken, J. M., Moehrle, M. G., & Walter, L. (2010b). Semantische Patentlandkarten zur Analyse technologischen Wandels: Eine Längsschnittstudie aus der Allradtechnik. In J. Gausemeier (ed.). 6. Symposium für Vorausschau und Technologieplanung (pp. 325349). Paderborn: Heinz Nixdorf Institut.

    • Search Google Scholar
    • Export Citation
  • Gerken, J. M., Walter, L., & Moehrle, M. G. (2010c). Semantische Patentlandkarten. Einsatz semantischer Patentlandkarten im Anwendungsfeld der Antriebstechnik—Eine explorative Analyse am Beispiel der Planentengetriebe. Heft Nr. 924 der Forschungsvereinigung Antriebstechnik. Frankfurt/Main: VDMA.

    • Search Google Scholar
    • Export Citation
  • Granstrand, O 2000 The Economics and management of intellectual property: Towards intellectual capitalism Edward Elgar Cheltenham.

  • Grupp, H 1997 Messung und Erklärung des technischen Wandels: Grundzüge einer empirischen Innovationsökonomik Springer Berlin .

  • Hall, B. H., Jaffe, A. B., & Trajtenberg, M. (2001). The NBER patent citations data file: lessons, insights and methodological tools. NBER Working Paper 8498..

    • Search Google Scholar
    • Export Citation
  • Han, Y, Park, Y 2006 Patent network analysis of inter-industrial knowledge flows: The case of Korea between traditional and emerging industries. World Patent Information 28 3 235247 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hargadon, A, Sutton, RI 1997 Technology brokering and innovation in a product development firm. Administrative Science Quarterly 42 4 716749 .

  • Haupt, R, Kloyer, M, Lange, M 2007 Patent indicators for the technology life cycle development. Research Policy 36 3 387398 .

  • Jaffe, AB, Trajtenberg, M 1999 International knowledge flows: Evidence from patent citations. Economics of Innovation and New Technology 8 1/2 105136 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Jaffe, AB, Trajtenberg, M, Henderson, R 1993 Geographic localization of knowledge spillovers as evidenced by patent citations. The Quarterly Journal of Economics 108 3 577598 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Jeong, B, Lee, D, Cho, H, Lee, J 2008 A novel method for measuring semantic similarity for XML schema matching. Expert Systems with Applications 34 3 16511658 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kangasabai, R., & Pan, H. (2008). Method of text similarity measurement. US-Patent 7,346,491 B2..

  • Kessler, MM 1963 Bibliographic coupling between scientific papers. American Documentation 14 1 1025 .

  • Kim, YG, Suh, JH, Park, SC 2008 Visualization of patent analysis for emerging technology. Expert Systems with Applications 34 3 18041812 .

  • Knight, H. J. (2004). Patent strategy for researchers and research managers, (2nd ed.). Chichester: Wiley.

  • Kurmaniak, C 2008 Electromagnetics comes through in the clutch. ANSYS Advantage 2 3 3031.

  • Lee, C, Jeon, J, Park, Y 2011 Monitoring trends of technological changes based on the dynamic patent lattice: A modified formal concept analysis approach. Technological Forecasting and Social Change 78 4 690702 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lee, S, Yoon, B, Lee, C, Park, J 2009 Business planning based on technological capabilities: Patent analysis for technology-driven roadmapping. Technological Forecasting and Social Change 76 6 769786 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lee, S, Yoon, B, Park, Y 2009 An approach to discovering new technology opportunities: Keyword-based patent map approach. Technovation 29 6–7 481497 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Li, Y, Wang, L, Hong, C 2009 Extracting the significant-rare keywords for patent analysis. Expert Systems with Applications 36 3 52005204 .

  • Lichtenthaler, E 2004 Technological change and the technology intelligence process: A case study. Journal of Engineering and Technology Management 21 4 331348 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mann, HB, Whitney, DR 1947 On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics 18 1 5060 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Manning, CD, Raghavan, P, Schütze, H 2008 Introduction to information retrieval Cambridge University Press Cambridge.

  • Manning, CD, Schütze, H 2005 Foundations of statistical natural language processing MIT Press Cambridge.

  • Moehrle, MG 2010 Measures for textual patent similarities: A guided way to select appropriate approaches. Scientometrics 85 1 95109 .

  • Moehrle, MG, Geritz, A 2007 Developing acquisition strategies based on patent maps T Khalil Y Hosni eds. Management of technology: New directions in technology management Elsevier Oxford 1929.

    • Search Google Scholar
    • Export Citation
  • Moehrle, MG, Walter, L, Geritz, A, Müller, S 2005 Patent-based inventor profiles as a basis for human resource decisions in research and development. R&D Management 35 5 513524 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Naunheimer, H, Novak, W, Ryborz, J 2007 Fahrzeuggetriebe: Grundlagen, Auswahl, Auslegung und Konstruktion Springer Berlin.

  • Park, H, Yoon, J, Kim, K 2011 Identifying patent infringement using SAO based semantic technological similarities. Scientometrics 90 2 515529 .

  • Park, Y, Yoon, B, Lee, S 2005 The idiosyncrasy and dynamism of technological innovation across industries: Patent citation analysis. Technology in Society 27 4 471485 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pope, B. (2009). All-wheel-drive suppliers get grip on changing market. Resource document. Accessed March 8, 2010 http://wardsauto.com/ar/suppliers_grip_market_090427/.

    • Search Google Scholar
    • Export Citation
  • Princeton University. (2006). WordNet 3.0. Resource document. Accessed March 23, 2011, from http://wordnetweb.princeton.edu/perl/webwn.

    • Search Google Scholar
    • Export Citation
  • Reitzig, M. (2003a). What do patent indicators really measure? A structural test of ‘novelty’ and ‘inventive step’ as determinants of patent profitability. LEFIC Working paper 2003-1. Copenhagen, DK.

    • Search Google Scholar
    • Export Citation
  • Reitzig, M 2003 What determines patent value? Insights from the semiconductor industry. Research Policy 32 1 1326 .

  • Rost, K. (2010). The strength of strong ties in the creation of innovation. Research Policy. doi: .

  • Schoenmakers, W, Duysters, G 2010 The technological origins of radical inventions. Research Policy 39 8 10511059 .

  • Schumpeter, JA 1934 The theory of economic development: an inquiry into profits, capital, credit, interest, and the business cycle Harvard University Press Cambridge.

    • Search Google Scholar
    • Export Citation
  • Sood, A, Tellis, GJ 2005 Technological evolution and radical innovation. Journal of Marketing 69 3 152168 .

  • Sternitzke, C, Bergmann, I 2009 Similarity measures for document mapping: A comparative study on the level of an individual scientist. Scientometrics 78 1 113130 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Stock, WG 2007 Information retrieval: Informationen suchen und finden Oldenbourg München.

  • Stockmar, J 2004 Das große Buch der Allradtechnik Motorbuch-Verl Stuttgart.

  • SUBARU Deutschland GmbH (Ed.). (2005). 33 Jahre SUBARU-Allradantrieb. Resource document. Accessed May 15, 2009, from http://www.subaru-presse.de/fileadmin/templates/downloads/awd/PressemappeSubaruAllrad-Technologie04-2005SUB.doc.

    • Search Google Scholar
    • Export Citation
  • Trajtenberg, M 1990 A penny for your quotes: Patent citations and the value of innovations. The Rand Journal of Economics 21 1 172187 .

  • Trajtenberg, M, Henderson, R, Jaffe, A 1997 University versus corporate patents: A window on the basicness of invention. Economics of Innovation and New Technology 5 1 1950 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Trippe, AJ 2003 Patinformatics: Tasks to tools. World Patent Information 25 3 211221 .

  • Tseng, Y, Lin, C, Lin, Y 2007 Text mining techniques for patent analysis. Information Processing & Management 43 5 12161247 .

  • USPTO (Ed.). (2007). Manual of patent examining procedure (8th ed.). Alexandria.

  • van Rijsbergen, C. J. (1981). Information retrieval (2th ed.). London: Butterworth.

  • I von Wartburg Teichert, T, Rost, K 2005 Inventive progress measured by multi-stage patent citation analysis. Research Policy 34 10 15911607 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Witt, U 2009 Propositions about novelty. Journal of Economic Behavior & Organization 70 1–2 311320 .

  • Yoon, J., & Kim, K. (2011a). Detecting signals of new technological opportunities using semantic patent analysis and outlier detection. Scientometrics. doi: .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Yoon, J, Kim, K 2011 Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks. Scientometrics 88 1 213228 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Yoon, B, Park, Y 2004 A text-mining-based patent network: Analytical tool for high-technology trend. The Journal of High Technology Management Research 15 1 3750 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Yoon, B, Park, Y 2005 A systematic approach for identifying technology opportunities: Keyword-based morphology analysis. Technological Forecasting and Social Change 72 2 145160 .

    • Crossref
    • Search Google Scholar
    • Export Citation

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Scientometrics
Language English
Size B5
Year of
Foundation
1978
Volumes
per Year
4
Issues
per Year
12
Founder Akadémiai Kiadó
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Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
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ISSN 0138-9130 (Print)
ISSN 1588-2861 (Online)