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  • 1 Department of Industrial and Management Engineering, Pohang University of Science and Technology, Pohang, Republic of Korea blissray@postech.ac.krjanghyoon@postech.ac.kr
  • 2 Department of Industrial Engineering, Chonnam National University, Gwangju, Republic of Korea jaeyeol@chonnam.ac.kr
  • 3 Department of IT Business Engineering, Daejon University, Daejon, Republic of Korea chkim@dju.kr
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Abstract

This paper suggests a method for Subject–Action–Object (SAO) network analysis of patents for technology trends identification by using the concept of function. The proposed method solves the shortcoming of the keyword-based approach to identification of technology trends, i.e., that it cannot represent how technologies are used or for what purpose. The concept of function provides information on how a technology is used and how it interacts with other technologies; the keyword-based approach does not provide such information. The proposed method uses an SAO model and represents “key concept” instead of “key word”. We present a procedure that formulates an SAO network by using SAO models extracted from patent documents, and a method that applies actor network theory to analyze technology implications of the SAO network. To demonstrate the effectiveness of the SAO network this paper presents a case study of patents related to Polymer Electrolyte Membrane technology in Proton Exchange Membrane Fuel Cells.

  • Altshuller, GS 1984 Creativity as an exact science: the theory of the solution of inventive problems (Studies in cybernetics) Gordon and Breach Science Publishers New York.

    • 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
  • Bhattacharya, S, Basu, P 1998 Mapping a research area at the micro level using co-word analysis. Scientometrics 43 3 359372 .

  • Bock, RD, Husain, SZ 1950 An adaptation of Holzinger's B-coefficients for the analysis of sociometric data. Sociometry 13 2 146153 .

  • Bollobas, B 1984 Graph theory and combinatorics Academic Press London.

  • Burt, R., & Schott, T. (1991). STRUCTURE. A general purpose network analysis program providing sociometric indices, cliques, structural and role equivalence, density tables, contagion, autonomy, power and equilibria in multiple network systems. Version 4.2. New York: Center for the Social Sciences, Columbia University.

    • Search Google Scholar
    • Export Citation
  • Callon, M, Courtial, J-P, 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
  • Callon, M, Courtial, J-P, Turner, WA, Bauin, S 1983 From translations to problematic networks: An introduction to co-word analysis. Social Science Information 22 2 191235 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Carrington, P. J. (2005). Models and methods in social network analysis (Structural analysis in the social sciences, 27 [i.e. 28]). Cambridge [u.a.]: Cambridge University Press.

    • Search Google Scholar
    • Export Citation
  • Cascini, G., Fantechi, A., & Spinicci, E. (2004a). Natural language processing of patents and technical documentation. In 11th international conference PAM 2010, Zurich, Switzerland, April 79 (Vol. 3163, pp. 508520).

    • Search Google Scholar
    • Export Citation
  • Cascini, G., Fantechi, A., & Spinicci, E. (2004b). Natural language processing of patents and technical documentation. In Document Analysis Systems VI (pp. 508520).

    • Search Google Scholar
    • Export Citation
  • Cascini, G., Fantechi, A., & Spinicci, E. (2004c). Natural language processing of patents and technical documentation. In S. Marinai, & A. Dengel (Eds.), Document analysis systems VI (Vol. 3163, pp. 8992). Lecture Notes in Computer Science. Berlin: Springer.

    • Search Google Scholar
    • Export Citation
  • Cascini, G, Russo, D 2006 Computer-aided analysis of patents and search for TRIZ contradictions. International Journal of Product Development 4:5267 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cascini, G., & Zini, M. (2008). Measuring patent similarity by comparing inventions functional trees. In International federation for information processing 20th world computer congress, Milano, Italy, September 710 (pp. 3142).

    • Search Google Scholar
    • Export Citation
  • Charniak, E, Carroll, G, Adcock, J, Cassandra, A, Gotoh, Y, Katz, J et al. 1996 Taggers for parsers. Artificial Intelligence 85 1–2 4557 .

  • Chen, L., Tokuda, N., & Adachi, H. (2003). A patent document retrieval system addressing both semantic and syntactic properties. Paper presented at the proceedings of the ACL-2003 workshop on Patent corpus processing—Vol. 20, Sapporo, Japan.

    • Search Google Scholar
    • Export Citation
  • Choi, S., Lim, J., Yoon, J., & Kim, K. (2010). Patent function network analysis: A function based approach for analyzing patent information. In Y. Hosni, & T. Khalil (Eds.), 19th International conference for the international association of management of technology, Cairo, Egypt, March 8–11.

    • Search Google Scholar
    • Export Citation
  • Dewulf, S. (2006). Directed Variation® systematic innovation in the established companies. In Conference on entrepreneurship and innovation, Maribor, Slovenia, March 3031 2006, Citeseer.

    • Search Google Scholar
    • Export Citation
  • Diestel, R 2005 Graph theory Springer Berlin.

  • Hanneman, R, Riddle, M 2005 Introduction to social network methods University of California Riverside CA.

  • Hood, W, Wilson, C 2001 The literature of bibliometrics, scientometrics, and informetrics. Scientometrics 52 2 291314 .

  • Hopcroft, J, Tarjan, R 1973 Algorithm 447: efficient algorithms for graph manipulation. Communications of the ACM 16 6 372378 .

  • Kim, H., Choi, S., Jeong, C., & Kim, K. (2010). Cause-and-effect function analysis. In Management of innovation and technology (ICMIT), 2010 IEEE international conference on, 25 June 2010 (pp. 518523).

    • Search Google Scholar
    • Export Citation
  • KIPO (2006). Patent Map Repoart: Proton exchange membrane fuel cell Korea Intellectual Property Office.

  • Kostoff, R 1998 The use and misuse of citation analysis in research evaluation. Scientometrics 43 1 2743 .

  • Law, J, Hassard, J 1999 Actor network theory and after Blackwell Malden.

  • Lee, W 2008 How to identify emerging research fields using scientometrics: An example in the field of Information Security. Scientometrics 76 3 503525 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lee, B, Jeong, Y-I 2008 Mapping Korea's national R&D domain of robot technology by using the co-word analysis. Scientometrics 77 1 319 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lee, S, Lee, S, Seol, H, Park, Y 2008 Using patent information for designing new product and technology: Keyword based technology roadmapping. R&D Management 38 2 169188 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lee, B., & Sounai, A. (2008). Polymer Electrolyte Membrane for fuel cell and membrane-electrode assembly and fuel cell including the same. United States Cheil Industries Inc. (Gumi-si, KR).

    • 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
  • Liang, Y., Tan, R., & Ma, J. (2008). Patent analysis with text mining for TRIZ. In Management of innovation and technology, 2008. ICMIT 2008. 4th IEEE international conference on, 2124 Sept. 2008 (pp. 11471151).

    • Search Google Scholar
    • Export Citation
  • Liang, Y., Gan, D., Guo, Y., & Zhang, P. (2009a). Computer-aided analysis of patents for product technology maturity forecasting. In R. Tan, G. Cao, & N. León (Eds.), Growth and development of computer-aided innovation (Vol. 304, pp. 295303. Boston: IFIP Advances in Information and Communication Technology, Springer.

    • Search Google Scholar
    • Export Citation
  • Liang, Y., Tan, R., Wang, C., & Li, Z. (2009b). Computer-aided classification of patents oriented to TRIZ. In Industrial engineering and engineering management, 2009. IEEM 2009. IEEE international conference on, 811 Dec. 2009 (pp. 23892393).

    • Search Google Scholar
    • Export Citation
  • Linton, CF 1977 A set of measures of centrality based on betweenness. Sociometry 40 1 3541 .

  • Liu, H. (2004). MontyLingua: An end-to-end natural language processor with common sense. http://web.media.mit.edu/∼hugo/montylingua/. Accessed 15 Jan 2009.

    • Search Google Scholar
    • Export Citation
  • Liu, H, Singh, P 2004 ConceptNet—A practical commonsense reasoning tool-kit. BT Technology Journal 22 4 211226 .

  • Mehta, V, Cooper, JS 2003 Review and analysis of PEM fuel cell design and manufacturing. Journal of Power Sources 114 1 3253 .

  • Miller, GA 1995 WordNet: A lexical database for English. Communications of the ACM 38 11 3941 .

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

  • Moehrle, M, 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
  • Mokken, RJ 1979 Cliques, clubs and clans. Quality & Quantity 13 2 161173 .

  • Neff, M, Corley, E 2009 35 years and 160,000 articles: A bibliometric exploration of the evolution of ecology. Scientometrics 80 3 657682 .

  • Ohniwa, R, Hibino, A, Takeyasu, K 2010 Trends in research foci in life science fields over the last 30 years monitored by emerging topics. Scientometrics 85 1 111127 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Salamatov, Y, Souchkov, V 1999 TRIZ: The right solution at the right time: A guide to innovative problem solving Insytec Hattem.

  • Savransky, SD 2000 Engineering of creativity: Introduction to TRIZ methodology of inventive problem solving CRC Press London .

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

  • Tsourikov, V. M., Batchilo, L. S., & Sovpel, I. V. (2000). Document semantic analysis/selection with knowledge creativity capability utilizing subject-action-object (SAO) structures. Google Patents.

    • Search Google Scholar
    • Export Citation
  • Verhaegen, PA, D’Hondt, J, Vertommen, J, Dewulf, S, Duflou, JR 2009 Relating properties and functions from patents to TRIZ trends. CIRP Journal of Manufacturing Science and Technology 1 3 126130 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Yoon, J, Choi, S, Kim, K 2011 Invention property-function network analysis of patents: A case of silicon-based thin film solar cells. Scientometrics 86 3 687703 .

    • 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