Please wait a minute...
New Technology of Library and Information Service  2012, Vol. Issue (11): 53-59    DOI: 10.11925/infotech.1003-3513.2012.11.09
Current Issue | Archive | Adv Search |
Study on New Technology Detection in Patents Documents
Gu Jun
Baoshan Iron and Steel Co., Ltd., Shanghai 201900, China
Download: PDF(611 KB)   HTML  
Export: BibTeX | EndNote (RIS)      
Abstract  This paper promotes a method which detecting new technology term from the texts of Chinese patents. Firstly, the element of terms in patents are extracted by ICTCLAS segmentation system and stop words lists. Then the hot elements of terms are filtered based on terms weights computing by improved TFIDF model. Secondly, the hot elements of terms are combined orderly by computing the distance between two words, and obtain the terms collection by terms weights computing and threshold filtering. The valid new technology terms are detected by the experts artificially. Finally, the availability of the method is proved through the applied example.
Key wordsTechnology life cycle      Term detection      Hot elements of terms     
Received: 07 November 2012      Published: 06 February 2013
:  TP391  

Cite this article:

Gu Jun. Study on New Technology Detection in Patents Documents. New Technology of Library and Information Service, 2012, (11): 53-59.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2012.11.09     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2012/V/I11/53

[1] 邵波. 企业竞争与反竞争情报中的专利分析研究[J]. 情报科学, 2006, 24(2):235-238.(Shao Bo.The Patent Analysis of Enterprise Competitive Intelligence and Counterintelligence[J].Information Science,2006,24(2):235-238)
[2] 专利分析系统:专利生命周期评价模型[EB/OL].[2011-08-02]. http://www.iprtop.com/pages/view/fn/fxxt_7/.(Patent Analyze System:Patent Lifecycle Evaluation Model[EB/OL].[2011-08-02].http://www.iprtop.com/pages/view/fn/fxxt_7/.)
[3] Zhang K, Zi J, Wu L G. New Event Detection Based on Indexing-Tree and Named Entity[C]. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007: 215-222.
[4] Chanlekha H, Collier N. A Methodology to Enhance Spatial Understanding of Disease Outbreak Events Reported in News Articles[J]. International Journal of Medical Informatics, 2010,79(4):284-296.
[5] Ramadan Q H, Mohd M. A Review of Retrospective News Event Detection[C].In: Proceedings of the International Conference on Semantic Technology and Information Retrieval (STAIR).2011: 209-214.
[6] Sun A, Hu M. Query-guided Event Detection from News and Blog Streams[J]. IEEE Transactions on Systems, Man and Cybernetics—Part A: Systems and Humans, 2011,41(5): 834-839.
[7] Tu Y N, Seng J L. Indices of Novelty for Emerging Topic Detection[J]. Information Processing & Management,2012,48(2): 303-325.
[8] Dai X, He Y, Sun Y. A Two-layer Text Clustering Approach for Retrospective News Event Detection[C]. In: Proceedings of the 2010 International Conference on Artificial Intelligence and Computational Intelligence (AICI). 2010: 364-368.
[9] 张阔,李涓子,吴刚,等. 基于词元再评估的新事件检测模型[J]. 软件学报, 2008, 19(4): 817-828.(Zhang Kuo, Li Juanzi, Wu Gang, et al.A New Event Detection Model Based on Term Reweighting[J].Journal of Software,2008, 19(4): 817-828.)
[10] 洪宇,张宇,范基礼,等. 基于子话题分治匹配的新事件检测[J]. 计算机学报,2008, 31(4): 687-695.(Hong Yu, Zhang Yu, Fan Jiji,et al.New Event Detection Based on Division Comparison of Subtopic[J].Chinese Journal of Computers,2008, 31(4): 687-695.)
[11] 贾自艳,何清,张海俊,等. 一种基于动态进化模型的事件探测和追踪算法[J]. 计算机研究与发展,2004, 41(7): 1273-1280.(Jia Ziyan,He Qing,Zhang Haijun,et al. A News Event Detection and Tracking Algorithm Based on Dynamic Evolution Model[J]. Journal of Computer Research and Development,2004, 41(7): 1273-1280.)
[12] 姚占雷,许鑫. 互联网新闻报道中的突发事件识别研究[J]. 现代图书情报技术,2011(4): 52-57.(Yao Zhanlei, Xu Xin.Research on the Detection of Sudden Events in News Stories of Online Information[J]. New Technology of Library and Information Service,2011(4): 52-57.)
[13] 陈伟,张成,王灿,等.新闻数据流的在线事件检测[J]. 浙江大学学报:工学版,2011,45(6):1006-1012.(Chen Wei,Zhang Cheng,Wang Can,et al.Online Event Detection in News Stream[J]. Journal of Zhejiang University:Engineering Science,2011,45(6);1006-1012.)
[14] 国内外三种专利申请受理状况总累计表[EB/OL].[2011-07-22]. http://www.sipo.gov.cn/sipo2008/ghfzs/zltj/zljb/201101/t20110110_562647.html.(Three Kinds of Patents Received Total Cumulative Table[EB/OL].[2011-07-22]. http://www.sipo.gov.cn/sipo2008/ghfzs/zltj/zljb/201101/t20110 110_562647.html.)
[15] ICTCLAS简介[EB/OL].[2011-06-10]. http://ictclas.org/ictclas_feature.html.(Introduction to ICTCLAS[EB/OL].[2011-06-10]. http://ictclas.org/ictclas_feature.html.)
[16] Kyoto Protocol to the United Nations Framework Convention on Climate Change[EB/OL].[2011-08-12]. http://unfccc.int/resource/docs/convkp/kpeng.html.
[1] Xiaofeng Li,Jing Ma,Chi Li,Hengmin Zhu. Identifying Commodity Names Based on XGBoost Model[J]. 数据分析与知识发现, 2019, 3(7): 34-41.
[2] Zhongxi You,Weina Hua,Xuelian Pan. Matching Book Reviews and Essential Sentiment Lexicons with Chinese Word Segmenters[J]. 数据分析与知识发现, 2019, 3(7): 23-33.
[3] Peng Guan,Yuefen Wang,Zhu Fu. Analyzing Topic Semantic Evolution with LDA: Case Study of Lithium Ion Batteries[J]. 数据分析与知识发现, 2019, 3(7): 61-72.
[4] Jiahui Hu,An Fang,Wanqing Zhao,Chenliu Yang,Huiling Ren. Annotating Chinese E-Medical Record for Knowledge Discovery[J]. 数据分析与知识发现, 2019, 3(7): 123-132.
[5] Beibei Kong,Jing Xie,Li Qian,Zhijun Chang,Zhenxin Wu. Methodology and Tools to Enrich Sci-Tech Big Data[J]. 数据分析与知识发现, 2019, 3(7): 113-122.
[6] Fan Xuexue, Wang Zhirong, Xu Wu, Liang Yin, Ma Xiaohu. Research on Semantic Similarity Estimation Algorithm of Medical Terminology Based on Medical Ontology[J]. 现代图书情报技术, 2015, 31(12): 57-64.
[7] Ren Haiying, Yu Liting. A Multi-strategy Method for Word Sense Disambiguation Based on Wikipedia[J]. 现代图书情报技术, 2015, 31(11): 18-25.
[8] Du Kun, Liu Huailiang, Guo Lujie. Study on the Modified Method of Feature Weighting with Complex Networks[J]. 现代图书情报技术, 2015, 31(11): 26-32.
[9] Ye Chuan, Ma Jing. Research on Topic Discovery Algoritm of Multimedia Microblog Comments Information[J]. 现代图书情报技术, 2015, 31(11): 51-59.
[10] Xie Xiaqing, Wu Xu. Application of Visualization Technology for “Classic Reading” Platform[J]. 现代图书情报技术, 2015, 31(11): 96-103.
[11] He Yu, Lv Xueqiang, Xu Liping. A Chinese Term Extraction System in New Energy Vehicles Domain[J]. 现代图书情报技术, 2015, 31(10): 88-94.
[12] Du Siqi, Li Honglian, Lv Xueqiang. Research of Chinese Chunk Parsing in Application of the Product Feature Extraction[J]. 现代图书情报技术, 2015, 31(9): 26-30.
[13] Xu Deshan, Li Hui, Zhang Yunliang. A Method of Keywords Annotation Based on Linked Triples[J]. 现代图书情报技术, 2015, 31(9): 31-37.
[14] Dun Wenjie, Sun Yigang, Zhu Xianzhong. Design and Realization of Multimedia Document Structure of Internet TV[J]. 现代图书情报技术, 2015, 31(9): 82-89.
[15] Chen Shiqin, Li Wenjiang. Application of WebSocket in Library Mobile Information Service[J]. 现代图书情报技术, 2015, 31(9): 90-96.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn