Abstract
Patent application documents are systematically collected in a structured data format (including the application date, the applicant and inventor name, and a complete technical description of the invention) in publicly available patent databases. This paper aims to use the bibliometric analysis capabilities available in the R-Bibliometrix package to analyse the conceptual structure of the information recorded in patents to generate input for the qualitative analysis. This objective will broaden the understanding of quantitative results and allow further interpretation of research findings from selected documents using bibliometric metrics. Therefore, this work aims to answer the following research question: how can bibliometric analysis be employed in interpreting documents retrieved in searches carried out in patent databases? A search was conducted on virtual worlds in the Lens database (open access). The application of the approach allowed us to identify some performance indicators and to trace a technological map, including the annual evolution of patent production; patent documents by jurisdiction; top owners; top inventors and their institutions; inventors’ production over time; the most frequent keywords extracted from the abstracts; the most frequent CPC class codes; technology trends from the CPC subclass codes; thematic maps; technology structure evolution from CPC subclass codes and abstract bigrams. It is concluded by highlighting the potential of the R-Bibliometrix package for patent analysis to identify performance indicators and perform the technological mapping.
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References
Abraham, B., Morita, S.: Innovation assessment through patent analysis. Technovation 21(4), 245–252 (2001)
Wantanabe, C., Tsuji, Y., Brown, C.: Patent statistics: deciphering a ‘real’ versus a ‘pseudo’ proxy of innovation. Technovation 21(12), 783–790 (2001)
Bengisu, M., Nekhili, R.: Forecasting emerging technologies with the aid of science and technology databases. Technol. Forecast. Soc. Chang. 73, 835–844 (2006)
Lens. https://www.lens.org. Accessed 30 Dec 2022
World Intellectual Property Organization. https://ipcpub.wipo.int. Accessed 30 Dec 2022
European Patent Office. https://www.cooperativepatentclassification.org/home. Accessed 30 Dec 2022
Aria, M., Cuccurullo, C.: Bibliometrix: an R-tool for comprehensive science mapping analysis. J. Informet. 11(4), 959–975 (2017)
Aria, M., Cuccurullo, C.: Package ‘bibliometrix’. https://cran.r-project.org/web/packages/bibliometrix/bibliometrix.pdf. Accessed 30 Dec 2022
Girvan, C.: What is a virtual world? Definition and classification. Educ. Tech. Res. Dev. 66(5), 1087–1100 (2018). https://doi.org/10.1007/s11423-018-9577-y
Nevelsteen, K.J.L.: Virtual world, defined from a technological perspective and applied to video games, mixed reality, and the Metaverse. Comput. Anim. Virtual Worlds 29(1), e1752 (2017)
Søraker, J.H.: Virtual entities, environments, worlds and reality: suggested definitions and taxonomy. In: Ess, C., Thorseth, M. (eds.) Trust and Virtual Worlds. Peter Lang, New York (2011)
Sakari, V.T.H., Pietari, T., Tapio, T.J.K.: Dichroic coatings to improve display uniformity and light security in an optical combiner (U.S. Patent No. US 2022/0146827 A1). U.S. Patent and Trademark Office, Washington, DC (2022)
Sakari, V.T.H., Pietari, T., Tapio, T.J.K.: Dichroic coatings to improve display uniformity and light security in an optical combiner (WIPO Patent No. 2022/098447 A1). World Intellectual Property Organization, Geneva (2022)
Naveen, K.: Systems and methods for computer assisted operation (U.S. Patent No. 11,173,391 B1). U.S. Patent and Trademark Office, Washington, DC (2021)
Qijun, Z., Dengpan, X., Yuan, G.: Augmented reality drilling, completion and production visualization system and synergy method based on holographic projection (WIPO Patent Application No. WO 2022/255995 A1). World Intellectual Property Organization, Geneva (2022)
Callon, M., Courtial, J.-P., Laville, F.: 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), 155–205 (1991). https://doi.org/10.1007/BF02019280
Brin, S., Page, L.: The anatomy of a large-scale hypertextual Web search engine. Comput. Netw. ISDN Syst. 30(1–7), 107–117 (1998)
Costa, A.P., Amado, J.: Content Analysis Supported by Software. Ludomedia, Oliveira de Azeméis - Aveiro - Portugal (2018)
White, M.D., Marsh, E.E.: Content analysis: a flexible methodology. Libr. Trends 55(1), 22–45 (2006)
Pinho, I., Rego, A., Cunha, M.P.: Improving knowledge management processes: a hybrid positive approach. J. Knowl. Manag. 16(2), 215–242 (2012)
Pinho, I., Leite, D.: Doing a literature review using content analysis - research networks review. In: Atas CIAIQ 2014 - Investigação Qualitativa em Ciências Sociais, vol. 3, pp. 377–378. Ludomedia, Portugal (2014)
Souza, F.N., Neri, D., Costa, A.P.: Asking questions in the qualitative research context. Qual. Rep. 21(13), 6–18 (2016)
Park, M., Leahey, E., Funk, R.J.: Papers and patents are becoming less disruptive over time. Nature 613(7942), 138–144 (2023)
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Moresi, E.A.D., Pinho, I. (2023). Analysis of the Conceptual Structure of Information Recorded in Patents. In: Costa, A.P., Moreira, A., Freitas, F., Costa, K., Bryda, G. (eds) Computer Supported Qualitative Research. WCQR 2023. Lecture Notes in Networks and Systems, vol 688. Springer, Cham. https://doi.org/10.1007/978-3-031-31346-2_14
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