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Analysis of the Conceptual Structure of Information Recorded in Patents

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Computer Supported Qualitative Research (WCQR 2023)

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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Correspondence to Eduardo Amadeu Dutra Moresi .

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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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