|
|
|
| The Mining Research of Technical Efficiency and Application Map of Patent Information |
| Zhai Dongsheng, Chen Chen, Zhang Jie, Huang Lucheng, Ruan Pingnan |
| School of Economics and Management, Beijing University of Technology, Beijing 100124, China |
|
|
|
|
Abstract Currently, the research of patent technology effect matrix and technology application map is primarily depend on the judgement of experts in classification of technology, effect and application terms, which requires many labors and the result seems to be not comprehensive. Therefore,the paper proposes a relatively objective solution based on text mining. This solution mainly focuses on the extraction of patent information about technology, effect and application terms, and then the experts make decisions based on the results of extraction to define the relatively comprehensive and accurate terms. With these terms, the maps by calculating the numbers of terms and the times of occurrences among them can be built. Experimental results show that the finally statistics are more comprehensive relative to experts’ ways.
|
|
Received: 11 June 2012
Published: 11 October 2012
|
|
|
| [1] 张伟琼.专利信息采集及分析系统设计与开发[D].杭州:浙江大学, 2008.(Zhang Weiqiong. Design and Develop of Patent Extration and Analysis System[D].Hangzhou:Zhejiang University, 2008.)[2] 张静, 刘细文, 柯贤能, 等. 国内外专利分析工具功能比较研究[J]. 情报理论与实践 , 2008, 31(1):141-145.(Zhang Jing, Liu Xiwen, Ke Xianneng, et al. Comparative Study of Patent Information Analysis Software Tools at Home and Abroad[J]. Information Studies:Theory & Application, 2008, 31(1):141-145.)[3] Seol H, Lee S, Kim C. Identifying New Business Areas Using Patent Information:A DEA and Text Mining approach[J]. Expert Systems with Applications, 2011,38(4):2933-2941.[4] Jun S, Park S S, Jang D S. Technology Forecasting Using Matrix Map and Patent Clustering[J]. Industrial Management & Data Systems, 2012, 112(5):786 - 807.[5] Cheng T Y. A New Method of Creating Technology/Function Matrix for Systematic Innovation without Expert[J]. Journal of Technology Management & Innovation, 2012, 7(1):18-27.[6] Tseng Y H, Wang Y M, Juang D W, et al. Text Mining for Patent Map Analysis[C]. In:Proceedings of IACIS Pacific 2005 Conference, Taipei. 2005.[7] Nanba H, Fujii A, Iwayama M, et al.Overview of the Patent Mining Task at the NTCIR-8 Workshop[C]. In:Proceedings of NTCIR-8 Workshop Meeting, Tokyo. 2010.[8] 罗立国.基于专利信息服务平台的专利地图研究[D].武汉:华中科技大学, 2009.(Luo Liguo. Patent Map Study Based on Patent Information Service Platform[D]. Wuhan:Huazhong University of Science and Technology, 2009.)[9] 潘雄锋, 张维维, 舒涛. 我国新能源领域专利地图研究[J]. 中国科技论坛 , 2010(4):41-45. (Pan Xiongfeng, Zhang Weiwei, Shu Tao. Research on Patent Map in the Field of New Energy of China[J]. Forum on Science and Technology in China, 2010(4):41-45.)[10] 陈颖,张晓林. 专利中技术词和功效词识别方法研究[J]. 现代图书情报技术 , 2011(12):24-30. (Chen Ying, Zhang Xiaolin. Study on the Differentiating Method of Technical and Effect Words in Patent[J]. New Technology of Library and Information Service, 2011(12):24-30.)[11] 还书国, 邱海霞. Web信息抽取的研究[J]. 消费导刊:理论版 , 2008 (12):172. (Huan Shuguo, Qiu Haixia. The Research of Extraction of Web Information[J]. Consume Guide, 2008 (12):172.)[12] Feldman R, Aumann Y, Finkelstein-Landau M, et al. A Comparative Study of Information Extraction Strategies[C]. In:Proceedings of the 3rd International Conference on Computational Linguistics and Intelligent Text Processing(CICLing’02). London:Springer-Verlag, 2002:349-359.[13] 郝占刚, 王正欧. 基于潜在语义索引和遗传算法的文本特征提取方法[J]. 情报科学 ,2006,24(1):104-107.(Hao Zhangang, Wang Zheng’ou. The Method of Text Feature Selection Based on LSI and GA[J]. Information Science, 2006,24(1):104-107.) |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
