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Literature Review of Patent Technological Portfolios' Application and Identification Methods
Received date: 2016-05-23
Revised date: 2016-11-02
Online published: 2016-11-05
[Purpose/significance] The study summarizes the development of patent technological portfolios identification methods in order to analyze the current problems, and provide improved directions for the selection and recommendation of practical patented technology. [Method/process] This paper defined the concept of patent technological portfolios and further reviewed the applications of identifying portfolios based on the company activities of patented technology. Based on literature review, the paper outspread the analysis and comments of portfolios identification method. [Result/conclusion] The current study is rare and dispersed on the patent portfolios identification method of IPR operation with a large load of working, which cannot meet the need of practical patented technology selection. The future research direction will be the expansion of different application ranges. The precise keywords extraction and the knowledge organization introduction are of great importance of improving the efficiency of portfolios identification. A variety of methods in combination are needed in future.
Li Shuying , Dong Ku , Fang Shu , Zhang Xian , Ru Lijie . Literature Review of Patent Technological Portfolios' Application and Identification Methods[J]. Library and Information Service, 2016 , 60(21) : 137 -144 . DOI: 10.13266/j.issn.0252-3116.2016.21.018
[1] 国家知识产权局等五部委印发《关于进一步加强知识产权运用和保护助力创新创业的意见》的通知[EB/OL].[2015-10-17].http://www.sipo.gov.cn/tz/gz/201510/t20151012_1186728.html.
[2] PARCHOMOVSKY G, WAGNER P. Patent portfolios[R]. University of Pennsylvania Law Review, 2005.
[3] 岳贤平.专利组合的存在价值及其政策性启示[J].情报理论与实践,2013,36(2):35-39.
[4] 陈达仁,黄慕萱.专利资讯与专利检索[M],台北:文华图书管理资讯公司,2002.
[5] SADOWSKI M, ROTH A, Technology leadership canpay off[J].Research technology management, 1999, 42(6):32-33.
[6] 熊晓琴. 基于专利地图的跨国汽车厂商专利布局研究[D]. 重庆:重庆大学, 2008:13.
[7] 栾春娟, 王续琨, 刘则渊. 三星电子公司与华为技术公司专利布局的比较[J].科学管理研究, 2008, 26(2):117-120.
[8] 吕一博,康宇航. 基于可视化的专利布局研究及其运用[J].情报学报, 2010,29(10):300-304.
[9] TRAPPEY A J, TRAPPEY C V, et al.A patent quality analysis for innovative technology and product development[J]. Advanced engineering informatics, 2012, 26(1):26-34.
[10] 马仁宏.专利检索与产业布局分析方法[EB/OL].[2016-11-02].http://www.docin.com/p-340800594.html.
[11] MOGEE M E,KOLAR R G. Patent citation analysis of Allergan pharmaceutical patents[J]. Expert opinion on therapeutic patents, 1998,8(10):1323-1346.
[12] MOGEE M E,KOLAR R G.Patent co-citation analysis of Eli Lilly & Co patent, Expert opinion on therapeutic patents, 1999,9(3):291-305.
[13] BLOOMBERG C A, Developing an intellectual property portfolio for the academic or not-for-profit institution[J]. Nature biotechnology,2005, 23(1):119-121.
[14] 黄鲁成,成雨,吴菲菲,等. 关于颠覆性技术识别框架的探索[J].科学学研究, 2015,33(5):654-664.
[15] ANGUE K, AYERBE C, MITKOVA L.A method using two dimensions of the patent classification for measuring the technological proximity:an application in identifying a potential R&D partner in biotechnology[J]. Journal of technology transfer, 2014, 39(5):716-747.
[16] 栾春娟,侯剑华,王贤文,等.全球竞争对手的技术网络绘制与共性技术识别[J].科技进步与对策,2014,31(2):71-77.
[17] 王贤文,徐申萌,彭恋,等.基于专利共类分析的技术网络机构研究:1971-2010[J].情报学报,2013,32(2):198-205.
[18] MOMENI A, ROST K. Identification and monitoring of possible disruptive technologies by patent-development paths and topic modeling[J].Technological forecasting & social change,2016,104:16-29.
[19] 陈亮,张志强.一种基于专利文本的技术系统构成识别方法[J].图书情报工作,2014,58(10):134-144.
[20] KIM Y G, SUH J H, PARK S C. Visualization of patent analysisfor emerging technology[J]. Expert systems with applications, 2008, 34(3):1804-1812.
[21] CHENGTY. a New method of creating technology/function matrix for systematic innovation without expert[J]. Journal of technology management & innovation, 2012,1(7):118-127.
[22] CHENGT Y, WANGM T.The Patent-classification technology/function matrix-a systematic method for design around[J]. Journal of intellectual property rights, 2013,18:158-167.
[23] 霍翠婷,蒋勇青,凌锋,等.日本FI/F-term分类体系在专利技术/功效矩阵中的应用研究[J].情报杂志, 2013,32(11):140-144.
[24] 李颖,赵蕴华等.日本专利检索体系中主题分类"FI/F-term"的理论与应用研究[J].数字图书馆论坛,2008(11):11-17.
[25] STUART T B,PODOLY J M. Local search and the evolution of technological capabilities[J]. Strategic management journal,1996,17(S1):21-28.
[26] 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.
[27] 张曦,王贤文,刘则渊,等.基于专利计量的企业技术相似性网络测度研究[J].情报杂志,2011,30(1):90-93.
[28] GANZEL W,CZERWON H I. A new methodological approach to biblio-graphic coupling and its application to the national,regional and institutional level[J].Scientometrics,1996,37(2):195-221.
[29] HUANG M H,CHIANG M H,LI Y,et al. Constructing a patent citation map using bibliographic coupling:A study of Taiwan's high-tech companies[J].Scientometrics,2003,58(3):489-505.
[30] 孙涛涛,刘云.基于专利耦合的企业技术竞争情报分析[J].科研管理,2011,32(9):140-146.
[31] EGGHE L, ROUSSEAU R. Co-citation, bibliographic coupling and a characterization of lattice citation networks[J]. Scientometrics, 2002, 55(3):349-361.
[32] MORRIS S, DEYONG C, WU Z, et al. Diva:a visualization system for exploring document databases for technology forecasting[J]. Computers & industrial engineering, 2002, 43(4):841-862.
[33] WARTBURG I. Inventive progress measured by multi-stage patent citation[J].Research policy,2005,34(10):1591-1607.
[34] RODRIGUEZ A, KIM B, TURKOZ M, et al. New multi-stage similarity measure for calculation of pairwise patent similarity in a patent citation network[J]. Scientometrics, 2015, 103(2):565-581.
[35] 李睿,张玲玲,郭世月.专利同被引聚类与专利引用耦合聚类的对比分析[J].图书情报工作,2012,56(8):91-95.
[36] YOON B U,PARK Y T. A text-mining-based patent network:analytical tool for high-technology trend[J]. Journal of high technology management research,2004,(15):37-50.
[37] LEE S, YOON B, PARK Y. An approach to discovering new technology opportunities:keyword-based patent map approach[J]. Technovation, 2009, 29(6/7):481-497.
[38] SONC,SUH Y,JEON J, et al. Development of a GTM-based patent map for identifying patent vacuums[J]. Expert systems with applications, 2012, 39(3):2489-2500.
[39] 陈旭,冯岭,刘斌,等.基于技术功效矩阵的专利聚类分析[J].小型微型计算机系统,2014,35(3):526-531.
[40] 张端阳,肖国华,李文燕.面向专利集成的专利技术相关性测度方法研究[J].情报杂志,2014,33(11):54-61.
[41] 彭继东,谭宗颖.一种基于文本挖掘的专利相似度测量方法及其应用[J].情报理论与实践, 2010,33(12):114-118.
[42] 翟东升,陈晨,张杰,等.专利信息的技术功效与应用图挖掘研究[J].现代图书情报技术,2012(7):96-102.
[43] PILKINGTON A. Technology portfolio alignment as an indicator of commercialisation:an investigation of fuel cell patenting[J]. Technovation, 2004, 24:761-771.
[44] HA S H, et al. Technological advances in the fuel cell vehicle:patent portfolio management[J]. Technological forecasting and social change. 2015,100:277-289.
[45] 张娴,许海云,方曙,等.专利技术组合机会与合作潜力研究[J].情报杂志,2015,34(7):39-46.
[46] YOON B, PARK Y. Development of new technology forecasting algorithm:hybrid approach for morphology analysis and conjoint analysis of patent information[J]. IEEE. Transactions on engineering management, 2007, 54(3):588-599.
[47] LEE C, KANG B, SHIN J. Novelty-focused patent mapping for technology opportunity analysis[J]. Technological forecasting & social change, 2014,90(2):355-365.
[48] ALTUNTAS S,DERELI T,KUSIAK A. Analysis of patent documents with weighted association rules[J]. Technological forcasting and social change, 2015, 92:249-262.
[49] 张曦,王贤文,刘则渊,等.基于专利计量的企业技术相似性网络测度研究[J].情报杂志,2011,30(1):90-94.
[50] 李蓓,陈向东.基于专利引用耦合聚类的纳米领域新兴技术识别[J].情报杂志,2015,34(5):35-40.
[51] WISSEMA J G. Morphological analysis:its application to a company TF investigation[J]. Futures,1976,8(2):146-153.
[52] 冷伏海,王林,王立学.基于文本挖掘的形态分析方法的关键问题[J].图书情报工作,2012,56(4):27-30. 作者贡献说明:李姝影:论文思路框架构建、主体内容撰写、修改与定稿; 董坤:文献调研、结构调整与论文修改; 方曙:论文内容指导,细节润色; 张娴:论文内容指导与精炼,细节润色; 茹丽洁:文献调研。
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