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Conference on Creativity in Intelligent Technologies and Data Science

CIT&DS 2019: Creativity in Intelligent Technologies and Data Science pp 34–45Cite as

On Approach for the Development of Patents Analysis Formal Metrics

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1083))

Abstract

Analysis and modeling of the cross-thematic states of the world prior-art is a voluminous task that includes many subtasks. In order to assess the prior art, build forecasts and carry out analysis, it is necessary to develop and construct cross-thematic relationships between patents within an array in many ways. The scientific result of the work was the first developed formal metric “belonging to the technological epoch” for assessing the cross-thematic states of the world prior art, as well as the technique and method of applying formal metrics. This paper presents the development of a software module based on the developed metric.

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Acknowledgments

This research was supported by the Russian Fund of Basic Research (grant No. 19-07-01200).

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Authors and Affiliations

  1. Volgograd State Technical University, Volgograd, Russian Federation

    Alla G. Kravets

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  1. Alla G. Kravets
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Correspondence to Alla G. Kravets .

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Editors and Affiliations

  1. CAD & Research Department, Volgograd State Technical University, Volgograd, Russia

    Alla G. Kravets

  2. Electrical and Computer Engineering, University of Patras, Rion, Patras, Greece

    Peter P. Groumpos

  3. Volgograd State Technical University, Volgograd, Russia

    Maxim Shcherbakov

  4. Volgograd State Technical University, Volgograd, Russia

    Marina Kultsova

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Kravets, A.G. (2019). On Approach for the Development of Patents Analysis Formal Metrics. In: Kravets, A., Groumpos, P., Shcherbakov, M., Kultsova, M. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2019. Communications in Computer and Information Science, vol 1083. Springer, Cham. https://doi.org/10.1007/978-3-030-29743-5_3

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  • DOI: https://doi.org/10.1007/978-3-030-29743-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29742-8

  • Online ISBN: 978-3-030-29743-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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