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Methodology of Analysis of Similar Objects with the Use of Modern Visualization Tools

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Advanced Technologies in Robotics and Intelligent Systems

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 80))

Abstract

Nowadays during data collection and primary data analysis the problem related to express analysis of received amount of information occurs. Therefore, this article presents methods of analysis of similar objects with the use of scientific visualization tools. These methods are considered with the analysis of Chinese published military patents, which were declassified due to the transparent policy of civil-military integration. For comprehensive implementation of these tools, first of all, it is necessary to identify attributes, which are specific for all patents were identified. With the use of these attributes, visualization tools and agent technologies, the comprehensive analysis of the patent information was conducted. In the article graph presentation of data is considered as the main visualization tool. The authors provide the examples of using various methods of graphic visualization with different selections of attributes. In addition, in this article the use of graphs for creating the termbase from the patent information is described. Analyze of such graph entirely, because of its size, can give only understanding of the amount of analyzed data. With graph fragmentation there is an opportunity to select general and unique terms for all IPC groups. Therefore it provides the analyst the opportunity to receive an overview of information in the patents instantly.

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References

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Correspondence to E. S. Tretyakov .

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Tretyakov, E.S., Tukumbetova, R.R., Artamonov, A.A. (2020). Methodology of Analysis of Similar Objects with the Use of Modern Visualization Tools. In: Misyurin, S., Arakelian, V., Avetisyan, A. (eds) Advanced Technologies in Robotics and Intelligent Systems. Mechanisms and Machine Science, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-33491-8_13

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