摘要
识别标准必要专利与高质量专利之间的关系,对于判断高质量专利能否成为标准必要专利具有重要意义。目前"关系"研究十分欠缺,为此提出了识别"关系"状态的新方法,即通过文本挖掘专利"技术词",基于文本聚类划分技术领域和时域,揭示不同发展阶段标准必要专利及高质量专利的关系。结果发现:标准必要专利与技术以及综合效益两个层面高质量专利并无范畴上的内嵌关系,综合效益层面的高质量属于标准必要专利的可能性较大;标准必要专利形成时间滞后于技术层面高质量专利,形成标准必要专利的数量与滞后时间呈L型关系;但早于综合效益层面的高质量专利,形成综合效益层面高质量专利的数量与滞后时间呈倒U型关系。
Standard essential patents are attracting more and more attention due to their important technical and market value. The relationship between standard essential patents and high quality patents is the research pur- pose. With standard essential patents and high quality patents for cellular communications industry as samples, mining patent technical words through the text, text classification and clustering technology based on time do- main, to reveal the relationship between the different stages of development of standard essential patents and high quality patent. The study found that the standard essential patents and technology as well as the comprehen- sive benefits of two level high quality patent no category of embedded relations, comprehensive benefit level the possibility of high quality belongs to the standard essential patents is relatively large; the standard necessary patent formation time lags behind the technology level of high quality patents, the number of form standard essential patents and the lag time is L relationship but the high quality of the patent; prior to the comprehensive benefit level, number of comprehensive benefits of high quality level of patent is the inverse U relation and time lag
作者
吴菲菲
米兰
黄鲁成
WU Feifei;MI Lan;HUANG Lucheng(School of Economics & Management,Beijing University of Technology,Beijing 100124,China)
出处
《科学学与科学技术管理》
CSSCI
CSCD
北大核心
2018年第9期87-100,共14页
Science of Science and Management of S.& T.
基金
国家自然科学基金面上项目(71774009)
关键词
标准必要专利
高质量专利
文本挖掘
技术领域
技术时域
standard essential patents
high quality patents
text mining
technical fields
technical time domain