Please wait a minute...
New Technology of Library and Information Service  2009, Vol. 25 Issue (11): 59-63    DOI: 10.11925/infotech.1003-3513.2009.11.12
article Current Issue | Archive | Adv Search |
Application of Gompertz Curve Model in the Patent Trend Forecast
Tang Tiantian1  Liu Ping1  Zhang Peng1  Ge Fubin2   Li Ming2
1(The Electricity Examination Department, The State Intellectual Property Office,  Beijing 100088, China)
2(The Automation Department, The State Intellectual Property Office, Beijing 100088, China)  
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

This paper introduces the current status of forecast technology in patent analysis system firstly. Then it analyzes the reasons why the Gompertz Curve Model can be used in the patent analysis system and  uses two specific examples to validate the Gompertz Curve Model.Finally, it provides the the corresponding patent strategy  in different technology life cycle for the user’s reference
Key words： Patent analysis      Gompertz curve      Forecast     
Received: 22 September 2009      Published: 25 November 2009
: 

G306

 		 
Corresponding Authors: Tang Tiantian     E-mail: tangtiantian@sipo.gov.cn
About author:: Tang Tiantian,Liu Ping,Zhang Peng,Ge Fubin,Li Ming
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
JIANG Ying

Cite this article:

Tang Tiantian,Liu Ping,Zhang Peng,Ge Fubin,Li Ming. Application of Gompertz Curve Model in the Patent Trend Forecast. New Technology of Library and Information Service, 2009, 25(11): 59-63.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2009.11.12     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2009/V25/I11/59

［1］ Aureka［EB/OL］.［2009-11-19］.http://thomsonreuters.com/products_services/legal/legal_products/intellectual_property/Aureka.
［2］ Delphion Research Intellectual Property Network ［EB/OL］.［2009-11-19］.http://www.delphion.com/.
［3］ Thomson Data Analyzer ［EB/OL］.［2009-11-19］.http://thomsonreuters.com/.products_services/legal/legal_products/intellectual_property/Thomson_Data_Analyzer.
［4］ 北京东方灵盾科技有限公司［EB/OL］.［2009-11-19］.http://www.eastlinden.com/.
［5］ 肖国华.专利地图研究与应用［D］.成都：四川大学, 2006.
［6］ Zhao S, Wei G W.Jump Process for the Trend Estimation of Time Series［J］.Computational Statistics and Data Analysis, 2003,42(1-2):219-241.
［7］ 陈燕,黄迎燕，万建国.专利信息采集与分析［M］.北京：清华大学出版社，2006.
［8］ 王锋.铁路集装箱结点站无线射频识别技术的应用研究［D］.北京：清华大学，2008.
［9］ Baranowitz S A,  Salthe S N,   Maderson P F A.The Use of the Gompertz Curve in an Analysis of the Dynamics of Lizard Tail Regeneration［J］. Theoretical Biology, 1977, 65(2): 267-279.
［10］ WIPO Reformed IPC:Internet Publication［EB/OL］.［2009-10-23］.http://www.wipo.int/classifications/ipc/ipc8/?lang=en.
［11］ 陆璇. 数理统计基础［M］. 北京：清华大学出版社，2006.
[1] Chen Donghua,Zhao Hongmei,Shang Xiaopu,Zhang Runtong. Optimizing Large Hospital Operating Rooms with Data Analytics[J]. 数据分析与知识发现, 2021, 5(9): 115-128.
[2] Su Qiang, Hou Xiaoli, Zou Ni. Predicting Surgical Infections Based on Machine Learning[J]. 数据分析与知识发现, 2021, 5(8): 65-75.
[3] Ding Hao, Ai Wenhua, Hu Guangwei, Li Shuqing, Suo Wei. A Personalized Recommendation Model with Time Series Fluctuation of User Interest[J]. 数据分析与知识发现, 2021, 5(11): 45-58.
[4] Jiang Cuiqing,Wang Xiangxiang,Wang Zhao. Forecasting Car Sales Based on Consumer Attention[J]. 数据分析与知识发现, 2021, 5(1): 128-139.
[5] Chai Guorong,Wang Bin,Sha Yongzhong. Public Health Risk Forecasting with Multiple Machine Learning Methods Combined:Case Study of Influenza Forecasting in Lanzhou, China[J]. 数据分析与知识发现, 2021, 5(1): 90-98.
[6] Chen Dong,Wang Jiandong,Li Huiying,Cai Sihang,Huang Qianqian,Yi Chengqi,Cao Pan. Forecasting Poultry Turnovers with Machine Learning and Multiple Factors[J]. 数据分析与知识发现, 2020, 4(7): 18-27.
[7] Wang Jiandong,Yu Shiyang. Principles on Constructing National Economic Brain[J]. 数据分析与知识发现, 2020, 4(7): 2-17.
[8] Jiandong Wang. Monitoring and Forecasting Economic Performance with Big Data[J]. 数据分析与知识发现, 2020, 4(1): 12-26.
[9] Shaohua Qiang,Yunlu Luo,Yupeng Li,Peng Wu. Ontology Reasoning for Financial Affairs with RBR and CBR[J]. 数据分析与知识发现, 2019, 3(8): 94-104.
[10] Mengji Zhang,Wanyu Du,Nan Zheng. Predicting Stock Trends Based on News Events[J]. 数据分析与知识发现, 2019, 3(5): 11-18.
[11] Li Shuying,Fang Shu. Review of Data Analysis Methods in Measuring Technology Fusion and Trend[J]. 数据分析与知识发现, 2017, 1(7): 2-12.
[12] Zhang Yun, Hua Weina, Yuan Shunbo, Su Baoduo. Research on the Themes Dynamic Evolutions of the Patent Analysis Papers from WoS Database[J]. 现代图书情报技术, 2015, 31(1): 17-23.
[13] Wang Weijun, Bao Liqian, Liu Kai. Development Trends of Cloud Services in Time Dimension[J]. 现代图书情报技术, 2014, 30(3): 42-48.
[14] Han Hongqi,Gui Jie,Xu Shuo,Liu Yuqin. Technical Strength Evaluation Method Based on Patent Text Data[J]. 现代图书情报技术, 2014, 30(1): 66-71.
[15] Wang Li, Zhang Dongrong, Zhang Xiaohui, Yang Xiaowei, Wu Ming. Realization of Technology/Effect Maps Generating Based on Subject Automatic Indexing[J]. 现代图书情报技术, 2013, (5): 80-86.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626，82624938   E-mail:jishu@mail.las.ac.cn