Rapid Patent Quality Evaluation Method Based on Big Data Analysis: Chinese Invention Patentsas Sample

Research Article
Open access

Rapid Patent Quality Evaluation Method Based on Big Data Analysis: Chinese Invention Patentsas Sample

Yide Yang 1*
  • 1 University of Alberta, Edmonton    
  • *corresponding author yide1@ualberta.ca
Published on 13 September 2023 | https://doi.org/10.54254/2754-1169/7/20230253
AEMPS Vol.7
ISSN (Print): 2754-1177
ISSN (Online): 2754-1169
ISBN (Print): 978-1-915371-41-6
ISBN (Online): 978-1-915371-42-3

Abstract

High-quality patents have high technical value and market competitive advantage. Faced with the huge number of patent data, how to rapidly and efficiently identify the quality of patents from the patent announcement is a crucial research issue at present. Therefore, it is reasonable to predict that, big data based techniques will be the best method to exploit this kind of data. The patents authorized by CNIPA (China National Intellectual Property Administration) are taken as the research object. This study chooses several types of patent evaluation indicators and uses EWM (The Entropy Weight Method) to calculate the weight of each indicator. The study determines a correction coefficient to enhance the usability and provides the final quality score of each patent. The evaluating formula is provided. In this study, easily accessible patent indicators are used, which makes it easier to evaluate the quality of patents. By this method, rapidly evaluating the patent quality only by its basic announcement data is feasible, which solves the limitation that laborious access to advanced indicators.

Keywords:

patent quality, big data, the entropy weight method, evaluation indicator

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References

[1]. Shu, T., Tian, X., & Zhan, X. (2022). Patent quality, firm value, and investor underreaction: Evidence from patent examiner busyness. Journal of Financial Economics, 143(3), 1043-1069. https://doi.org/10.1016/j.jfineco.2021.10.013

[2]. Wu, J., Gui, L., & Liu, P. (2022). Indicator and Textual Features-Based Patent Evaluation with Graph Convolutional Networks [J]. Journal of Intelligence, 41(1):88-95,124. https://doi.org/10.3969/j.issn.1002-1965.2022.01.014

[3]. Donato, C., Lo Giudice, P., Marretta, R., Ursino, D., & Virgili, L. (2019). A well-tailored centrality measure for evaluating patents and their citations. Journal of Documentation, 75(4), 750–772. https://doi.org/10.1108/jd-10-2018-0168

[4]. Marco, A. C., Sarnoff, J. D., & deGrazia, C. A. W. (2019). Patent claims and patent scope. Research Policy, 48(9), 103790. https://doi.org/10.1016/j.respol.2019.04.014

[5]. Lanjouw, J. O., & Schankerman, M. (2004) Patent quality and research productivity: Measuring innovation with multiple indicators. The Economic Journal, 114(495), 441-465.

[6]. Ernst, H. (2003). Patent information for strategic technology management. World Patent Information, 25(3), 233–242. https://doi.org/10.1016/s0172-2190(03)00077-2

[7]. Hall, B., Thoma, G., & Torrisi, S. (2007). The market value of patents and R& D: Evidence from European firms. https://doi.org/10.3386/w13426

[8]. Cativelli, A. S., Pinto, A. L., & Sanchez, M. L. L. (2020). Patent value index: Measuring Brazilian green patents based on family size, grant, and backward citation. Iberoamerican Journal of Science Measurement and Communication, 1(1), 004-004. https://doi.org/10.47909/ijsmc.03

[9]. Harhoff, D., Scheerer, F., & Vopel, K. (2002). Citations, family size, opposition and value of patent rights. Research Policy, 32(8), 1343-1363. https://doi.org/ 10.1016/S0048-7333(02)00124-5

[10]. Jianjun, Yang., Shanshan, Xing., Ruizhi, Qiu., Yimeng, Chen., Chunrong, Hua., & Dawei, Dong. Mathematical Problems in Engineering Decision-Making Based on Improved Entropy Weighting Method: An Example of Passenger Comfort in a Smart Cockpit of a Car. MATHEMATICAL PROBLEMS IN ENGINEERING. https://doi.org/ 10.1155/2022/6846696

[11]. Heng, Deng., & Zhaoyang, Dong. (2021). Research on Identification and Evaluation Model and Application of High-Quality Patents —Research Paradigm Based on Patent Information Analysis. China Invention & Patent, 18(11), 3-9. https://doi.org/10.3969/j.issn.1672-6081.2021.11.001

Cite this article

Yang,Y. (2023). Rapid Patent Quality Evaluation Method Based on Big Data Analysis: Chinese Invention Patentsas Sample. Advances in Economics, Management and Political Sciences,7,343-349.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Business and Policy Studies

ISBN：978-1-915371-41-6(Print) / 978-1-915371-42-3(Online)
Editor：Canh Thien Dang, Javier Cifuentes-Faura
Conference website: https://2023.confbps.org/
Conference date: 26 February 2023
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.7
ISSN：2754-1169(Print) / 2754-1177(Online)

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References

[1]. Shu, T., Tian, X., & Zhan, X. (2022). Patent quality, firm value, and investor underreaction: Evidence from patent examiner busyness. Journal of Financial Economics, 143(3), 1043-1069. https://doi.org/10.1016/j.jfineco.2021.10.013

[2]. Wu, J., Gui, L., & Liu, P. (2022). Indicator and Textual Features-Based Patent Evaluation with Graph Convolutional Networks [J]. Journal of Intelligence, 41(1):88-95,124. https://doi.org/10.3969/j.issn.1002-1965.2022.01.014

[3]. Donato, C., Lo Giudice, P., Marretta, R., Ursino, D., & Virgili, L. (2019). A well-tailored centrality measure for evaluating patents and their citations. Journal of Documentation, 75(4), 750–772. https://doi.org/10.1108/jd-10-2018-0168

[4]. Marco, A. C., Sarnoff, J. D., & deGrazia, C. A. W. (2019). Patent claims and patent scope. Research Policy, 48(9), 103790. https://doi.org/10.1016/j.respol.2019.04.014

[5]. Lanjouw, J. O., & Schankerman, M. (2004) Patent quality and research productivity: Measuring innovation with multiple indicators. The Economic Journal, 114(495), 441-465.

[6]. Ernst, H. (2003). Patent information for strategic technology management. World Patent Information, 25(3), 233–242. https://doi.org/10.1016/s0172-2190(03)00077-2

[7]. Hall, B., Thoma, G., & Torrisi, S. (2007). The market value of patents and R& D: Evidence from European firms. https://doi.org/10.3386/w13426

[8]. Cativelli, A. S., Pinto, A. L., & Sanchez, M. L. L. (2020). Patent value index: Measuring Brazilian green patents based on family size, grant, and backward citation. Iberoamerican Journal of Science Measurement and Communication, 1(1), 004-004. https://doi.org/10.47909/ijsmc.03

[9]. Harhoff, D., Scheerer, F., & Vopel, K. (2002). Citations, family size, opposition and value of patent rights. Research Policy, 32(8), 1343-1363. https://doi.org/ 10.1016/S0048-7333(02)00124-5

[10]. Jianjun, Yang., Shanshan, Xing., Ruizhi, Qiu., Yimeng, Chen., Chunrong, Hua., & Dawei, Dong. Mathematical Problems in Engineering Decision-Making Based on Improved Entropy Weighting Method: An Example of Passenger Comfort in a Smart Cockpit of a Car. MATHEMATICAL PROBLEMS IN ENGINEERING. https://doi.org/ 10.1155/2022/6846696

[11]. Heng, Deng., & Zhaoyang, Dong. (2021). Research on Identification and Evaluation Model and Application of High-Quality Patents —Research Paradigm Based on Patent Information Analysis. China Invention & Patent, 18(11), 3-9. https://doi.org/10.3969/j.issn.1672-6081.2021.11.001

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