Abstract
This article will consider the method of creating a patent database based on information provided by various patent offices, and its subsequent analysis by displaying the information of interest at the user’s request. The assessment of existing solutions and their shortcomings is carried out. The features of existing databases are taken into account. The categories to search for patents are selected according to the International Patent Classification (IPC). During the experiment, we proposed an optimal algorithm for obtaining data and uploading it to our own database. Patent data was also collected from existing databases (for example, Google Patents), which in turn draw data from open government departments. The possibility of processing the obtained data by filtering out unnecessary information and analysis of HTML pages of patents for certain parameters, is investigated. The paper considers the method of creating a database and filling it with the found information, as well as the output ordered by special criteria, carried out using the free relational database management system MySQL [1], also specialized libraries for Python 3.8. In the last part, some clippings from the obtained statistics and conclusions based on them are presented.
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Urkaewa, K.D., Babalova, I.F., Zareshin, S.V. (2021). Formation and Analysis of the Patent Database on Computer Technologies. In: Radionov, A.A., Gasiyarov, V.R. (eds) Advances in Automation II. RusAutoCon 2020. Lecture Notes in Electrical Engineering, vol 729. Springer, Cham. https://doi.org/10.1007/978-3-030-71119-1_47
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DOI: https://doi.org/10.1007/978-3-030-71119-1_47
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