基于专利动态特征的技术转移潜力识别研究

doi:10.13998/j.cnki.issn1002-1248.21-0406

农业图书情报学报 ›› 2021, Vol. 33 ›› Issue (6): 107-115.doi: 10.13998/j.cnki.issn1002-1248.21-0406

所属专题：知识产权服务；计量与评价

• 文献计量专刊 • 上一篇

基于专利动态特征的技术转移潜力识别研究

许轶, 李婧, 许海云, 李姝影

中国科学院成都文献情报中心,成都 610041

收稿日期:2021-04-02 出版日期:2021-06-05 发布日期:2021-06-15
作者简介:许轶（ORCID：0000-0001-7556-6875）,中国科学院成都文献情报中心,副研究员,硕士,知识产权情报方法与实践。李婧（ORCID：0000-0002-3964-1249）,中国科学院成都文献情报中心,助理研究员,硕士,产业情报研究。许海云（ORCID：0000-0002-7453-3331）,中国科学院成都文献情报中心,副研究员,博士,情报计量学的理论与实践。李姝影（ORCID：0000-0002-0544-2970）,中国科学院成都文献情报中心,助理研究员,博士,情报计量学的理论与实践
基金资助:
中国科学院文献情报中心青年人才领域前沿项目“基于专利分析的技术转移预测模型研究”（Y7CH881001）

Identification of Technology Transfer Potential Based on Patent Dynamic Characteristics

XU Yi, LI Jing, XU Haiyun, LI Shuying

Chengdu Library and Information Center, Chinese Academy of Science, Chengdu 610041

Received:2021-04-02 Online:2021-06-05 Published:2021-06-15

摘要/Abstract

摘要： [目的/意义]利用专利的动态特征识别技术转移潜力,可为高校和科研院所开展专利分级管理和运营工作提供支撑,促进专利技术的产业化。[方法/过程]专利特征在其生命周期呈现动态演变,本文基于动态专利引文网络,从动态发展的视角构建动态和静态相结合的专利技术转移潜力评价指标体系;以转让或许可专利的动态特征为学习对象,采用决策树方法建立技术转移预测模型,并进行实证模型检验。[结果/结论]专利在引文网络中的影响力对其转移转化潜力有较大的作用,实证检验基于决策树的转移预测模型具有较高的预测效果。通过监测专利动态特征,利用模型进行转移转化潜力评估,及时筛选出易于转让或许可的专利开展针对性的产业化运营。

关键词: 专利, 技术转移, 社会网络分析, 决策树

Abstract: [Purpose/Significance] Using the dynamic characteristics of patents to identify their potential for technology transfer will help universities and research institutes to carry out patent grading management and operation, and promote the industrialization of patented technologies. [Method/Process] Patent characteristics present dynamic evolution in its life cycle. Based on the dynamic patent citation network, this article constructs a dynamic and static patent technology transfer potential evaluation index system from the perspective of dynamic development; takes the dynamic characteristics of the transferred or licensed patent as the learning object and adopts the decision tree method to establish technology transfer prediction model and conducts an empirical model test. [Results/Conclusions] The influence of patents in the citation network has a greater role in its transfer and conversion potential. The empirical test of the transfer prediction model based on decision trees has a high predictive effect. By monitoring the dynamic characteristics of patents, the model is used to evaluate the transfer and conversion potential in a timely manner and screen out patents that are easy to transfer or license to carry out targeted industrialization operation.

Key words: patent, technology transfer, social network analysis, decision tree

中图分类号:

G255.53

许轶, 李婧, 许海云, 李姝影. 基于专利动态特征的技术转移潜力识别研究[J]. 农业图书情报学报, 2021, 33(6): 107-115.

XU Yi, LI Jing, XU Haiyun, LI Shuying. Identification of Technology Transfer Potential Based on Patent Dynamic Characteristics[J]. Journal of Library and Information Science in Agriculture, 2021, 33(6): 107-115.

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基于专利动态特征的技术转移潜力识别研究

Identification of Technology Transfer Potential Based on Patent Dynamic Characteristics

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