Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents

Materials Research

Volumn 17, Issue 6, 2014, Pages 1513-1522

  Milanez, Douglas Henrique ^a   Do Amaral, Roniberto Morato ^a   De Faria, Leandro Innocentini Lopes ^a   Gregolin, José Angelo Rodrigues ^a  

^a FEDERAL UNIVERSITY OF SÃO CARLOS   (Brazil)

Author keywords

Data mining; Patent analysis; Sustainability; Technological mapping; Text mining

Indexed keywords

CELLULOSE; CELLULOSE NANOCRYSTALS; COMMERCE; DATA MINING; NANOCELLULOSE; PATENTS AND INVENTIONS; SUSTAINABLE DEVELOPMENT;

PATENT ANALYSIS; PATENT DOCUMENTS; TEXT MINING TECHNIQUES; UNITED STATES PATENT AND TRADEMARK OFFICE; UNSTRUCTURED DATA;

TEXT MINING;

EID: 84922765635     PISSN: 15161439     EISSN: 19805373     Source Type: Journal    
DOI: 10.1590/1516-1439.266314     Document Type: Article

References (47)

1. Siqueira G, Bras J and Dufresne A. Cellulosic bionanocomposites: a review of preparation, properties and applications. Polymers. 2010; 2(4):728-765. http://dx.doi.org/10.3390/polym2040728.
2. Klemm D, Kramer F, Moritz S, Lindström T, Ankerfors M, Gray D, et al. Nanocelluloses: a new family of nature-based materials. Angewandte Chemie International Edition. 2011; 50(24):5438-5466. http://dx.doi.org/10.1002/anie.201001273. PMid:21598362
3. Moon RJ, Martini A, Nairn J, Simonsen J and Youngblood J. Cellulose nanomaterials review: structure, properties and nanocomposites. Chemical Society Reviews. 2011; 40(7):3941-3994. http://dx.doi.org/10.1039/c0cs00108b. PMid:21566801
4. Charreau H, Foresti ML and Vazquez A. Nanocellulose patents trends: a comprehensive review on patents on cellulose nanocrystals, microfibrillated and bacterial cellulose. Recent Patents on Nanotechnology. 2013; 7(1):56-80. http://dx.doi.org/10.2174/187221013804484854. PMid:22747719
5. Milanez DH, Amaral RM, Faria LIL and Gregolin JAR. Assessing nanocellulose developments using science and technology indicators. Materials Research. 2013; 16(3):635-641. http://dx.doi.org/10.1590/S1516-14392013005000033.
6. Research and Markets. The global market for nanocellulose to 2017. United Kingdom; 2014. Available from: . Access in: 30/05/2014.
7. Durán N, Lemes AP and Seabra AB. Review of cellulose nanocrystals patents: preparation, composites and general applications. Recent Patents on Nanotechnology. 2012; 6(1):16-28. http://dx.doi.org/10.2174/187221012798109255. PMid:21875405
8. TAPPI. Roadmap for the development of international standards for nanocellulose. 2011. 36 p. Available from: . Access in: 30/05/2014.
9. Siró I and Plackett D. Microfibrillated cellulose and new nanocomposite materials: a review. Cellulose. 2010; 17(3):459-494. http://dx.doi.org/10.1007/s10570-010-9405-y.
10. Moed HF, Glänzel W and Schmoch U. Handbook of quantitative science and technology research. New York: Kluwer Academic Publishers; 2004. 800 p.
11. Mogee ME. Patents and technology intelligence. In Ashton WB and Richard AK. Keeping abreast of science and technology: technical intelligence for business. Columbus: Battelle Press; 1997.
12. Organisation for Economic Co-operation and Development-OECD. OECD Patent Statistics Manual. Patent Manual. 2009. http://dx.doi.org/10.1787/9789264056442-en.
13. Salerno M, Landoni P and Verganti R. Designing foresight studies for Nanoscience and Nanotechnology (NST) future developments. Technological Forecasting and Social Change. 2008; 75(8):1202-1223. http://dx.doi.org/10.1016/j. techfore.2007.11.011.
14. Abbas A, Zhang L and Khan SU. A literature review on the state-of-the-art in patent analysis. World Patent Information. 2014; 37:3-13. http://dx.doi.org/10.1016/j.wpi.2013.12.006.
15. Fujii A, Iwayama M and Kando N. Introduction to the special issue on patent processing. Information Processing & Management. 2007; 43(5):1149-1153. http://dx.doi.org/10.1016/j.ipm.2006.11.004.
16. Tseng Y-H, Lin C-J and Lin Y-I. Text mining techniques for patent analysis. Information Processing & Management. 2007; 43(5):1216-1247. http://dx.doi.org/10.1016/j.ipm.2006.11.011.
17. Fleisher CS and Bensoussan BE. Strategic and competitive analysis: methods and techniques for analyzing business competition. New Jersey: Prentice Hall; 2002. 457 p.
18. Albulquerque EM. (Coord.). Patent activity in Brazil and abroad. In: São Paulo Research Foundation-FAPESP. Science, technology and innovation indicators in São Paulo. São Paulo; 2010. v. 1. Available from . Access in 24/07/2014.
19. Campus SK and Criscuolo P. The "home advantage" effect and patent families: a comparison of OECD triadic patents, the USPTO and the EPO. Scientometrics. 2006; 66(1):23-41. http://dx.doi.org/10.1007/s11192-006-0003-6.
20. Wanner L, Baeza-Yates R, Brügmann S, Codina J, Diallo B, Escorsa E, et al. Towards content-oriented patent document processing. World Patent Information. 2008; 30(1):21-33. http://dx.doi.org/10.1016/j.wpi.2007.03.008.
21. Yang Y, Akers L, Klose T and Barcelon Yang C. Text mining and visualization tools: impressions of emerging capabilities. World Patent Information. 2008; 30(4):280-293. http://dx.doi.org/10.1016/j.wpi.2008.01.007.
22. Yoon B and Park Y. A text-mining-based patent network: analytical tool for high-technology trend. The Journal of High Technology Management Research. 2004; 15(1):37-50. http://dx.doi.org/10.1016/j.hitech.2003.09.003.
23. Yoon B and Park Y. A systematic approach for identifying technology opportunities: keyword-based morphology analysis. Technological Forecasting and Social Change. 2005; 72(2):145-160. http://dx.doi.org/10.1016/j.techfore.2004.08.011.
24. Yoon J and Kim K. Detecting signals of new technological opportunities using semantic patent analysis and outlier detection. Scientometrics. 2012; 90(2):445-461. http://dx.doi.org/10.1007/s11192-011-0543-2.
25. Yoon J and Kim K. An analysis of property-function based patent networks for strategic R&D planning in fast-moving industries: the case of silicon-based thin film solar cells. Expert Systems with Applications. 2012; 39(9):7709-7717. http://dx.doi.org/10.1016/j.eswa.2012.01.035.
26. Yoon J, Park H and Kim K. Identifying technological competition trends for R&D planning using dynamic patent maps: SAO-based content analysis. Scientometrics. 2013; 94(1):313-331. http://dx.doi.org/10.1007/s11192-012-0830-6.
27. Chen H, Roco MC, Li X and Lin Y. Trends in nanotechnology patents. Nature Nanotechnology. 2008; 3(3):123-125. http://dx.doi.org/10.1038/nnano.2008.51. PMid:18654475
28. Wang G and Guan J. Value chain of nanotechnology: a comparative study of some major players. Journal of Nanoparticle Research. 2012; 14(2):702. http://dx.doi.org/10.1007/s11051-011-0702-7.
29. Milanez DH, Faria LIL, Amaral RM, Leiva DR and Gregolin JAR. Patents in nanotechnology: an analysis using macroindicators and forecasting curves. Scientometrics. 2014; 101(2):1097-1112. Available from: http://link springer.com/ar ticle/10.1007%2Fs11192-014-1244-4 . Access in: 30/05/2014.
30. United State Patent and Trademark Office. Available from: www.uspto.gov . Access in: 30/05/2014.
31. Thomson Reuters. Derwent Innovations Index. 2014. Available from: http://apps.webofknowledge.com/DIIDW- GeneralSearch-input.do?product=DIIDW&SID=4ApADyN tOVlQUb2tsXM&search-mode=GeneralSearch . Access in 30/05/2014.
32. Search Technology. Vantage Point Manual. 2006.
33. WIPO. Guide to using patent information. 2013. Available from: http://www.wipo.int/export/sites/www/freepublications/en/patents/434/wipo-pub-l434-03.pdf. Access in: 24/05/2014.
34. Ujihara K. GetIPDL: Patent Downloader. 2010. Available from: www.getipdl.net . Access in: 30/05/2014.
35. Milanez DH, Macedo TD, Amaral RM, Faria LIL and Gregolin JAR. Assessing an interval of confidence to compile timedependent patent indicators in nanotechnology. In: Proceedings of the 14th International Society of Scientometrics and Informetrics Conference; 2013; Vienna, Austria. Vienna: Austrian Institute of Technology; 2013. v. 2. p. 1877-1880.
36. Brazilian Association for Cellulose and Pulp-BRACELPA. Data from sector. Available from: http://www.bracelpa.org. br/bra2/sites/default/files/estatisticas/booklet.pdf . Access in: 30/05/2014.
37. Procter & Gambler. 2014. Available from: www.pg.com . Access in: 30/05/2014.
38. FMC. 2014. Available from: www.fmctechnologies.com . Access in: 30/05/2014.
39. FMC. Material safety data sheet: Avicel® PH Microcrystalline Cellulose. 2014. Available from: http://www.fmcbiopolymer. com/Portals/Pharm/Content/Docs/avicelphmsds.pdf . Access in: 30/05/2014.
40. Kimberly-Clark. 2014. Available from: http://www.kimberlyclark. com . Access in: 30/05/2014.
41. FPInnovations. 2014. Available from: www.fpinnovations. ca . Access in: 30/05/2014.
42. UT-Battelle. 2014. Available from: http://www.ut-battelle.org/ . Access in: 30/05/2014.
43. Enso S. 2014. Available from: www.storaenso.com . Access in: 30/05/2014.
44. UPM-Kymmene. 2014. Available from: www.upm.com . Access in: 30/05/2014.
45. Technologies S. 2014. Available from: www.swetree.com . Access in: 30/05/2014.
46. Lyonbiopole. Sofradim Products. 2013. Available from: www. lyonbiopole.com/exchange/entreprise-53-sofradim-production. html . Access in: 30/05/2014.
47. Trademarkia. Verdepack. 2014. Available from: http://www. trademarkia.com/verdepack-77313089.html . Access in: 24/06/2014.