知识组织

基于改进PageRank算法的核心专利发现研究

  • 张欣 ,
  • 马瑞敏
展开
  • 1. 中国科学院文献情报中心 北京 100190;
    2. 中国科学院大学经济与管理学院 北京 100190;
    3. 山西大学经济与管理学院 太原 030006
张欣(ORCID:0000-0001-9697-0527),博士研究生。

收稿日期: 2017-09-25

  修回日期: 2018-01-28

  网络出版日期: 2018-05-20

Research on the Discovery of Core Patents Based on Improved PageRank Algorithm

  • Zhang Xin ,
  • Ma Ruimin
Expand
  • 1. National Science Library, Chinese Academy of Sciences, Beijing 100190;
    2. School of Ecnomics and Management, University of Chinese Academy of Sciences, Beijing 100190;
    3. College of Economic and Management, Shanxi university, Taiyuan 030006

Received date: 2017-09-25

  Revised date: 2018-01-28

  Online published: 2018-05-20

摘要

[目的/意义]核心专利的发现是技术创新的重要环节,对于技术改进和专利战略布局意义重大。[方法/过程]首先界定核心专利的概念,然后在对原始PageRank算法模型介绍的基础上,结合专利的被引次数和专利的年龄对原始的PageRank算法进行改进,提出PatentRank算法(简称PTR),并将其应用到OLED领域中来识别核心专利。[结果/结论]研究发现,相比被引次数,PTR不仅能将该领域的核心专利识别出来,而且还可以识别出一些重要性的基础性专利,为研究OLED相关技术提供追本溯源的研究思路;相比原始PageRank算法,PTR具有更高的值区分度,在局部改善了PR的排名。

关键词: PageRank; 核心专利; OLED

本文引用格式

张欣 , 马瑞敏 . 基于改进PageRank算法的核心专利发现研究[J]. 图书情报工作, 2018 , 62(10) : 106 -115 . DOI: 10.13266/j.issn.0252-3116.2018.10.014

Abstract

[Purpose/significance] The discovery of core patents is an important part in technological innovation, which is of great significance to the technological improvement and the patent strategy layout.[Method/process] This paper firstly defined the concept of core patent. Then, by introducing the original PageRank algorithm model, the improved PageRank——PatentRank (referred to as PTR) was put forward, which combining the cited times of patents and the patent age. Finally, we applied the new model to the field of OLED to identify the core patents.[Result/conclusion] We find that compared with the cited times, PTR can not only identify the core patents but also some basic important patents which provide the research ideas for the research of OLED technology. Besides, compared with the original PageRank algorithm, the values of PTR have higher degree of differentiation, and it can improve the PR results on the local scale.

Key words: PageRank; core patents; OLED

参考文献

[1] 《国家知识产权战略纲要》(全文)[EB/OL].[2016-07-25].http://www.sipo.gov.cn/ztzl/ywzt/zlwzn/xgljt/201306/t20130604_801744.html.
[2] 李建蓉.专利文献与信息[M].北京:知识产权出版社,2002.
[3] 李建蓉.专利信息与利用[M].北京:知识产权出版社,2006.
[4] 韩志华. 核心专利判别的综合指标体系研究[J]. 中国外资, 2010(4):193-196.
[5] 罗爱静, 尹瑾. 基于信息分析的中药领域核心专利技术发展研究[J]. 情报杂志, 2009, 28(S1):37-39.
[6] 尹瑾, 赵玉梅. 我国中药核心专利技术区域分布研究[J]. 湖南工业大学学报(社会科学版), 2011, 16(3):11-14.
[7] 胡晨希, 邵蓉. 基于布拉德福定律的药品核心专利分析[J]. 中国药事, 2012, 26(2):134-136.
[8] 余敏杰, 田稷. 海洋生物产业专利情报分析[J]. 情报杂志, 2012(9):11-14.
[9] 陆萍, 柯岚馨. Innography在学科核心专利挖掘中的应用研究[J]. 图书馆工作与研究, 2012(8):122-125.
[10] ALBERT M B, AVERY D, NARIN F, et al. Direct validation of citation counts as indicators of industrially important patents[J]. Research policy, 1991, 20(3):251-259.
[11] HARHOFF D, NARIN F, SCHERER F M, et al. Citation frequency and the value of patented inventions[J].Review of Economics and statistics,1999,81(3):511-515.
[12] HARHOFF D, SCHERER F M, VOPEL K. Citations, family size, opposition and the value of patent rights[J]. Research policy, 2003, 32(8):1343-1363.
[13] BERGER F, BLIND K, THUMM N. Filing behaviour regarding essential patents in industry standards[J]. Research policy, 2012, 41(1):216-225.
[14] 霍翠婷. 企业核心专利判定的方法研究[J]. 情报杂志, 2012(11):95-99.
[15] 谢萍, 袁润, 钱过. 基于TOPSIS方法的核心专利识别研究[J]. 情报理论与实践, 2015, 38(6):88-92.
[16] 谢萍, 钱过, 袁润. 基于粗糙集理论的核心专利识别研究[J]. 情报杂志, 2015(7):34-38.
[17] 李治东,熊焰,方曦.基于熵权层次分析法的核心专利识别应用研究[J]. 情报学报,2016,35(10):1101-1109.
[18] 王天歌,王金苗,袁红梅.基于专利维度的我国生物医药核心技术的识别与分析[J].情报杂志,2016,35(4):112-117.
[19] WANG X, DUAN Y. Identifying core technology structure of electric vehicle industry through patent co-citation information[J]. Energy procedia, 2011, 5(1):2581-2585.
[20] WU H C, CHEN H Y, LEE K Y. Unveiling the core technology structure for companies through patent information[J]. Technological forecasting & social change, 2010, 77(7):1167-1178.
[21] LAI K K, WU S J. Using the patent co-citation approach to establish a new patent classification system[J]. Information processing & management, 2005, 41(2):313-330.
[22] 冯岭, 彭智勇, 刘斌,等. 一种基于潜在引用网络的专利价值评估方法[J]. 计算机研究与发展, 2015, 52(3):649-660.
[23] KIM S, KIM S Y, HONG S W, et al. Applying PageRank to patent[C]//International conference on convergence content. Switzerland:Advanced Engineering Forum, 2013:7-8.
[24] 顾立平. 专利排名算法-运用引用次数与引文网络计算美国专利的研究[J]. 现代图书情报技术, 2011, 27(6):14-19.
[25] BRIN S, PAGE L. The anatomy of a large-scale hypertextual Web search engine[J]. Computer networks, 1998, 56(18):3825-3833.
[26] PAGE L. The PageRank citation ranking:bringing order to the Web, online manuscript[J]. Stanford digital libraries working paper,1998,9(1):1-14.
[27] 马凤. 基于PageRank算法的期刊影响力研究[J]. 情报杂志, 2014(12):103-108.
[28] 马楠, 官建成. 基于网络结构挖掘算法的引文网络研究[J]. 情报学报,2008, 27(4):584-590.
[29] 段庆锋, 朱东华, 汪雪锋. 基于改进PageRank算法的引文文献排序方法[J]. 情报理论与实践, 2012, 35(1):115-119.
[30] YAN E, DING Y. Discovering author impact:a PageRank perspective[J]. Information processing & management, 2010, 47(1):125-134.
[31] 曹德斌. 专利引文网络分类分析及结构模式发现研究[D].长沙:国防科学技术大学,2013.
[32] GOSNELL C F. The rate of obsolescence in college library book collections as determined by an analysis of the three select lists of books for college libraries[D].New York:New York University,1943.
[33] 邱均平.信息计量学[M].武汉:武汉大学出版社, 2007.
[34] 万里鹏.我国企业专利权质押实证研究[D]. 重庆:西南政法大学, 2012.
文章导航

/