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侵权诉讼背景下的专利无效宣告影响因素研究

彭启宁 柳炳祥 付振康 冯广宇 贝汶瑜

科技情报研究2024,Vol.6Issue(1):75-89,15.
科技情报研究2024,Vol.6Issue(1):75-89,15.DOI:10.19809/j.cnki.kjqbyj.2024.01.007

侵权诉讼背景下的专利无效宣告影响因素研究

Research on the Influencing Factors of Patent Invalidation under the Background of Infringement Litigation

彭启宁 1柳炳祥 2付振康 3冯广宇 1贝汶瑜1

作者信息

  • 1. 景德镇陶瓷大学知识产权信息服务中心,景德镇 333001
  • 2. 景德镇陶瓷大学知识产权信息服务中心,景德镇 333001||景德镇陶瓷大学信息工程学院,景德镇 333403
  • 3. 南京大学信息管理学院,南京 210023
  • 折叠

摘要

Abstract

[Purpose/significance]Taking patent infringement as the starting point,this paper explores the influence mechanism of different factors on the tendency of patent infringement declaration,then compares and analyzes the differences in the influencing factors of invalid declaration under different infringement themes in the same field.[Method/process]Firstly,this paper uses the LDA topic model to subdivide the infringement topics in the selected emerging industry field,and understands the different infringement topics and infringement keywords of the infringement patents in this field;Secondly,the statistical correlation model is used to calculate various data indicators under different infringement classification topics and comparatively analyze the correlation between invalid declaration tendencies.Finally,by constructing a multi-feature fusion random forest model,the patents under different infringement classification topics are identified and trained for invalid declaration classification,and the LIME model in machine learning can be explained.Explain the degree of influence of the measurement index features in the model.[Result/conclusion]According to the correlation analysis after topic classification,it is found that under different topic classifications,the selected feature indicators not only have different overall influence on the determination of invalidity after infringement,but also have different influencing factors and influence degree rankings in different classification results.There existed significant differences in the classification rules and classification indicators relied on by different classification topics.

关键词

LDA模型/随机森林模型/专利无效/Word2vec模型/可解释机器学习

Key words

LDA/random forest model/patent invalidation/word2vec model/explainable machine learning

分类

社会科学

引用本文复制引用

彭启宁,柳炳祥,付振康,冯广宇,贝汶瑜..侵权诉讼背景下的专利无效宣告影响因素研究[J].科技情报研究,2024,6(1):75-89,15.

基金项目

2022年度文化和旅游部提质培优计划专业研究生重点扶持项目(MLIS类)"中小型文化创意企业知识产权创造能力影响因素研究——以景德镇陶瓷文创企业为例"(编号:Mlis-003) (MLIS类)

江西省研究生创新基金项目"高校专利质量评价指标体系构建实证研究"(编号:YC2021-S532). (编号:YC2021-S532)

科技情报研究

OACSSCI

2096-7144

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