SAO-based semantic mining of patents for semi-automatic construction of a customer job map

Sustainability (Switzerland)

Volumn 9, Issue 8, 2017, Pages

  Lim, Joohyung ^a   Choi, Sungchul ^b   Lim, Chiehyeon ^c   Kim, Kwangsoo ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

^b Gachon University   (South Korea)

^c Ulsan National Institute of Science and Technology   (South Korea)

Author keywords

Customer Needs; Job Map; Jobs To Be Done; Outcome Driven Innovation (Odi); Patent Text Mining; Subject Action Object (SAO)

Indexed keywords

DATA INTERPRETATION; DATA MANAGEMENT; DATA MINING; DESIGN; EMPLOYMENT; INNOVATION; INTELLECTUAL PROPERTY RIGHTS; METHODOLOGY;

EID: 85026786759     PISSN: None     EISSN: 20711050     Source Type: Journal    
DOI: 10.3390/su9081386     Document Type: Article

References (46)

1. Ulrich, K.T. Product Design and Development; Tata McGraw-Hill Education: New York, NY, USA, 2003.
2. Ulwick, A.W. Turn customer input into innovation. Harv. Bus. Rev. 2002, 80, 91–97, 126. [PubMed]
3. Bettencourt, L.A.; Brown, S.W.; Sirianni, N.J. The secret to true service innovation. Bus. Horiz. 2013, 56, 13–22. [CrossRef]
4. Christensen, C.M.; Anthony, S.D.; Berstell, G.; Nitterhouse, D. Finding the right job for your product. MIT Sloan Manag. Rev. 2007, 48, 12.
5. Christensen, C.M.; Dillon, K.; Hall, T.; Duncan, D.S. Competing against Luck: The Story of Innovation and Customer Choice; Harper Business: New York, NY, USA, 2016.
6. Bettencourt, L.A.; Ulwick, A.W. The customer-centered innovation map. Harv. Bus. Rev. 2008, 86, 109. [PubMed]
7. Lim, C.-H.; Kim, K.-J.; Hong, Y.-S.; Park, K. Pss board: A structured tool for product–service system process visualization. J. Clean. Prod. 2012, 37, 42–53. [CrossRef]
8. Lim, C.-H.; Kim, K.-J. Information service blueprint: A service blueprinting framework for information-intensive services. Serv. Sci. 2014, 6, 296–312. [CrossRef]
9. Ulwick, A.W. What Customers Want: Using Outcome-Driven Innovation to Create Breakthrough Products and Services; McGraw-Hill New York: New York, NY, USA, 2005.
10. Bettencourt, L. Service Innovation: How to Go from Customer Needs to Breakthrough Services; McGraw Hill Professional: New York, NY, USA, 2010.
11. Ulwick, A.W.; Bettencourt, L.A. Giving customers a fair hearing. MIT Sloan Manag. Rev. 2008, 49, 62.
12. Cascini, G.; Fantechi, A.; Spinicci, E. Natural language processing of patents and technical documentation. In Document Analysis Systems VI; Springer: Berlin, Germany, 2004; pp. 508–520.
13. Yoon, J.; Kim, K. Identifying rapidly evolving technological trends for R&D planning using sao-based semantic patent networks. Scientometrics 2011, 88, 213–228.
14. Choi, S.; Kim, H.; Yoon, J.; Kim, K.; Lee, J.Y. An sao-based text-mining approach for technology roadmapping using patent information. Res. Dev. Manag. 2013, 43, 52–74. [CrossRef]
15. Moehrle, M.G.; Walter, L.; Geritz, A.; Müller, S. Patent-based inventor profiles as a basis for human resource decisions in research and development. Res. Dev. Manag. 2005, 35, 513–524. [CrossRef]
16. Choi, S.; Kang, D.; Lim, J.; Kim, K. A fact-oriented ontological approach to sao-based function modeling of patents for implementing function-based technology database. Exp. Syst. Appl. 2012, 39, 9129–9140. [CrossRef]
17. Tsourikov, V.M.; Batchilo, L.S.; Sovpel, I.V. Document Semantic Analysis/Selection with Knowledge Creativity Capability Utilizing Subject-Action-Object (Sao) Structures. U.S. Patent 6,167,370, 26 December 2000.
18. Park, H.; Yoon, J. A chance discovery-based approach for new product-service system (pss) concepts. Serv. Bus. 2015, 9, 115–135. [CrossRef]
19. Yoon, J.; Park, H.; Kim, K. Identifying technological competition trends for R&D planning using dynamic patent maps: Sao-based content analysis. Scientometrics 2013, 94, 313–331.
20. Choi, S.; Park, H. Investigation of strategic changes using patent co-inventor network analysis: The case of samsung electronics. Sustainability 2016, 8, 1315. [CrossRef]
21. Lai, X.; Xie, M.; Tan, K.-C.; Yang, B. Ranking of customer requirements in a competitive environment. Comput. Ind. Eng. 2008, 54, 202–214. [CrossRef]
22. Shih, L.-H.; Lee, Y.-T.; Huarng, F. Creating customer value for product service systems by incorporating internet of things technology. Sustainability 2016, 8, 1217. [CrossRef]
23. Oestreicher, K.G. Segmentation & the jobs-to-be-done theory: A conceptual approach to explaining product failure. J. Mark. Dev. Compet. 2011, 5, 103.
24. Yoon, J.; Lim, J.; Choi, S.; Kim, K.; Kim, C.-H. Ontological functional modeling of technology for reusability. Exp. Syst. Appl. 2011, 38, 10484–10492. [CrossRef]
25. Savransky, S.D. Engineering of Creativity: Introduction to Triz Methodology of Inventive Problem Solving; CRC Press: Oxford, UK, 2000.
26. Hirtz, J.; Stone, R.B.; McAdams, D.A.; Szykman, S.; Wood, K.L. A functional basis for engineering design: Reconciling and evolving previous efforts. Res. Eng. Des. 2002, 13, 65–82. [CrossRef]
27. Altshuller, G.S. Creativity as an Exact Science; Gordon and Breach: New York, NY, USA, 1984.
28. Litvin, S. ETRIA Conference TRIZ Future. In Triz Readings Altshuller's Tradition Continues; The European TRIZ Association: Graz, Austria, 2005; pp. 16–18.
29. Umeda, Y.; Tomiyama, T. Functional reasoning in design. IEEE Expert 1997, 12, 42–48. [CrossRef]
30. Ibusuki, U.; Kaminski, P.C. Product development process with focus on value engineering and target-costing: A case study in an automotive company. Int. J.Prod. Econ. 2007, 105, 459–474. [CrossRef]
31. Chowdhury, G.G. Natural language processing. Ann.Rev. Inf. Sci.Technol. 2003, 37, 51–89. [CrossRef]
32. Charniak, E.; Carroll, G.; Adcock, J.; Cassandra, A.; Gotoh, Y.; Katz, J.; Littman, M.; McCann, J. Taggers for parsers. Artif. Intell. 1996, 85, 45–57. [CrossRef]
33. Choi, S.; Lim, J.; Yoon, J.; Kim, K. In Patent function network analysis: A Function Based Approach for Analyzing Patent Information. In Proceedings of the 19th International Conference for the International Assocation of Management of Technology, Cairo, Egypt, 8–11 March 2010.
34. Liu, H.; Singh, P. Conceptnet—A practical commonsense reasoning tool-kit. BT Technol. J. 2004, 22, 211–226. [CrossRef]
35. Liu, H. Montylingua: An End-to-End Natural Language Processor with Common Sense. Available online: http://web.media.mit.edu/~hugo/montylingua/ (accessed on 10 January 2015).
36. Li, G.; Ma, S.; Han, Y. Summarization-based video caption via deep neural networks. In Proceedings of the 23rd ACM International Conference on Multimedia, Brisbane, Austrlia, 15 Ocober 2015; ACM: Brisbane, Australia, 2015; pp. 1191–1194.
37. Amato, F.; Moscato, V.; Picariello, A.; Sperlí, G.; D'Acierno, A.; Penta, A. Semantic summarization of web news. Encycl. Semant. Comput. Robot. Intell. 2017, 1. [CrossRef]
38. Mogee, M.E. Using patent data for technology analysis and planning. Res.-Technol. Manag. 1991, 34, 43–49.
39. Choi, J.; Jang, D.; Jun, S.; Park, S. A predictive model of technology transfer using patent analysis. Sustainability 2015, 7, 15809. [CrossRef]
40. Choi, S.; Park, H.; Kang, D.; Lee, J.Y.; Kim, K. An sao-based text mining approach to building a technology tree for technology planning. Exp. Syst. Appl. 2012, 39, 11443–11455. [CrossRef]
41. Code, G. Stop-Words. Available online: https://code.google.com/archive/p/stop-words/ (accessed on 23 June 2015).
42. Fellbaum, C. Wordnet; Wiley Online Library: Hoboken, NJ, USA, 1998.
43. Miller, G.A. Wordnet: A lexical database for english. Commun. ACM 1995, 38, 39–41. [CrossRef]
44. Simpson, T.; Dao, T. Wordnet-based semantic similarity measurement. Code Proj. com. 2005. Available online: https://www.codeproject.com/Articles/11835/WordNet-based-semantic-similarity-measurement (accessed on 6 August 2017).
45. Goldberg, Y.; Levy, O. Word2vec explained: Deriving mikolov et al. 'S negative-sampling word-embedding method. arXiv 2014, arXiv:1402.3722.
46. Mikolov, T.; Sutskever, I.; Chen, K.; Corrado, G.; Dean, J. Distributed representations of words and phrases and their compositionality. In Proceedings of the 26th International Conference on Neural Information Processing Systems, Lake Tahoe, NV, USA, 5–10 December 2013; pp. 3111–3119.