[Purpose/significance] The patent documents and academic papers show the new progress of technological innovation and scientific research respectively. Combining patent documents with academic papers through patent subjects, and then conducting technical subject evolution analysis, which has certain reference significance for further discovering understanding the relationship between patent technology and scientific research.[Method/process] Taking the academic inventors in the field of data mining as the link, the association method was proposed and the research framework was constructed from 3 perspectives of patent subject-keyword coupling, IPC coupling and IPC-keyword co-occurrence. Then this paper analyzed the evolution of multi-dimensional relationship among subjects, technologies and themes in different time periods, and explored the relationship between patent documents and academic papers.[Result/conclusion] The role of academic inventors in the innovation of data mining is more and more important. The technical themes of most subjects are similar, and some even show a high degree of unity. However, there are also a few technologies that are not directly related to the themes, and the degree of difference is also large. But whether technology is directly related to the theme matter or not, technology inventions and scientific research have achieved deeper mutual penetration in the field of data mining.
Ning Zichen
,
Wei Lai
. Research on the Relationship Between Patent Documents and Academic Papers Based on Patent Subjects——A Case Study of Data Mining[J]. Library and Information Service, 2020
, 64(12)
: 106
-117
.
DOI: 10.13266/j.issn.0252-3116.2020.12.012
[1] 董坤,许海云,罗瑞,等.科学与技术的关系分析研究综述[J].情报学报,2018,37(6):642-652.
[2] 王刚波, 官建成. 纳米科学与技术之间的联系:基于学术型发明人的分析[J]. 中国软科学, 2009(12):71-79.
[3] KESSLER M M. Bibliographic coupling between scientific papers[J]. American documentation, 1963,14(1):10-25.
[4] BIKARD M. Made in academia:the effect of institutional origin on inventors' attention to science[J]. Organization science, 2018,29(5):818-836.
[5] AHMADPOOR M, JONES B F. The dual frontier:patented inventions and prior scientific advance[J]. Science, 2017,357(6351):583-587.
[6] HUANG M H, YANG H W, CHEN D Z. Increasing science and technology linkage in fuel cells:a cross citation analysis of papers and patents[J]. Journal of informetrics, 2015,9(2):237-249.
[7] DING C G, HUNG W C, LEE M C, et al. Exploring paper characteristics that facilitate the knowledge flow from science to technology[J]. Journal of informetrics, 2017,1(1):244-256.
[8] WANG X, ZHAO Y, LIU R, et al. Knowledge-transfer analysis based on co-citation clustering[J]. Scientometrics, 2013,97(3):859-869.
[9] LIU G. Visualization of patents and papers in terahertz technology:a comparative study[J]. Scientometrics, 2013,94(3):1037-1056.
[10] GAO J P, TENG L, PANG J. Hybrid documents co-citation analysis:making sense of the interaction between science and technology in technology diffusion[J]. Scientometrics, 2012,93(2):459-471.
[11] QI Y, ZHU N, ZHAI Y, et al. The mutually beneficial relationship of patents and scientific literature:topic evolution in nanoscience[J]. Scientometrics, 2018,115(2):893-911.
[12] RISCH J, KRESTEL R. What should I cite? cross-collection reference recommendation of patents and papers[C]//KAMPS J, TSAKONAS G, MANOLOPOULOS Y, et al. 21st international conference on theory and practice of digital libraries. Cham:Springer, 2017:40-46.
[13] GOLNABI H. Carbon nanotube research developments in terms of published papers and patents, synthesis and production[J]. Scientia iranica, 2012,19(6):2012-2022.
[14] WONG C Y, GOH K L. The sustainability of functionality development of science and technology:papers and patents of emerging economies[J]. Journal of informetrics, 2012,6(1):55-65.
[15] PRATHAP G. Totalized input-output assessment of research productivity of nations using multi-dimensional input and output[J]. Scientometrics, 2018, 115(1):577-583.
[16] 杜建,孙轶楠,李永洁,等.从科学-技术交叉处识别创新前沿:方法与实证[J].情报理论与实践,2019,42(1):94-99.
[17] 覃佳慧,何耶奇,叶鹰.科学论文和技术专利的引用时滞及循环周期研究——以富勒烯为例[J].情报理论与实践,2018,41(7):23-25.
[18] 徐红姣,曾文,张运良.基于Word2vec的论文和专利主题关联演化分析方法研究[J].情报杂志,2018,37(12):36-42.
[19] 曾文,徐红姣,李颖,等.基于VSM的科技期刊文献与专利文献的相似度计算方法研究[J].情报工程,2016,2(3):37-42.
[20] 董坤,吴红.基于论文-专利整合的3D打印技术研究热点分析[J].情报杂志,2014,33(11):73-76,61.
[21] 骆云中, 陈蔚杰, 徐晓琳. 专利情报分析与利用[M]. 上海:华东理工大学出版社, 2007:14.
[22] 魏来, 高霏霏. 专利发明人与申请人之间的合作关系研究[J]. 情报学报, 2016, 35(5):463-471.
[23] 王刚波,官建成.纳米科学与技术之间的联系:基于学术型发明人的分析[J].中国软科学,2009(12):71-79.
[24] 邱均平.论"引文耦合"与"同被引"[J].图书馆,1987(3):13-19.
[25] 叶春霞,余翔,李卫.企业间专利合作的多学科知识网络研究[J].情报杂志, 2013(4):113-120.
[26] 王曰芬,王金树,关鹏.主题-主题关联的学科知识网络构建与演化分析[J].情报科学,2018,36(9):9-15,102.
[27] 刘勇,杜一.网络数据可视化与分析利器:Gephi中文教程[M]. 北京:电子工业出版社,2017:182-187.
[28] 魏来,高希然.大数据背景下高校数据馆员的角色定位[J].情报资料工作,2015(5):90-94.
