The Analysis of Technology Development Trends Based on the Network Semantic Structure “Subject-Action-Object”-Reference-Cited by-同舟云学术

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The Analysis of Technology Development Trends Based on the Network Semantic Structure “Subject-Action-Object”

Published:2022 Issue: Volume: Page:43-53
ISSN:2198-4182
Container-title:Cyber-Physical Systems: Intelligent Models and Algorithms
language:
Short-container-title:

Author:

Kolesnikova Veronika,Korobkin Dmitriy^ORCID,Fomenkov Sergey^ORCID,Rayushkin Eduard^ORCID,Glushkin Vsevolod

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-95116-0_4

Reference20 articles.

1. Korobkin, D.M., Fomenkov, S.A., Golovanchikov, A.B.: Method of identification of patent trends based on descriptions of technical functions. J. Phys. Conf. Ser. 1015(3) (2018). https://doi.org/10.1088/1742-6596/1015/3/032065

2. Wang, X., Ren, H., Chen, Y., Liu, Y., Qiao, Y. and Huang, Y.: Measuring patent similarity with SAO semantic analysis. Scientometrics. 121, 1–23 (2019). https://doi.org/10.1007/s11192-019-03191-z

3. Yufeng, D., Duo, J., Lixue, J.: Patent similarity measure based on SAO structure. Chin. Sentence Clause Text Inf. Process. 30(1), 30–36 (2016)

4. Zhang, Y., Zhou, X., Porter, A.L., Gomila, J.M.V.: How to combine term clumping and technology roadmapping for newly emerging science & technology competitive intelligence: “problem & solution” pattern based semantic TRIZ tool and case study. Scientometrics 101(2), 1375–1389 (2014)

5. Vasiliev, S.S., Korobkin, D.M., Kravets, A.G., Fomenkov, S.A., Kolesnikov, S.G.: Extraction of cyber-physical systems inventions’ structural elements of russian-language patents. Stud. Syst. Springer, Decis. Control 259, 55–68 (2020). https://doi.org/10.1007/978-3-030-32579-4_5

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Formation of a Russian-English Parallel Corpus for Automatic Translation of the Text of Patents;2023 International Ural Conference on Electrical Power Engineering (UralCon);2023-09-29

2. Extracting the Component Composition Data of Inventions from Russian Patents using Dependency Tree Analysis;2023 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM);2023-05-15

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