Please wait a minute...
New Technology of Library and Information Service  2004, Vol. 20 Issue (6): 59-63    DOI: 10.11925/infotech.1003-3513.2004.06.16
Current Issue | Archive | Adv Search |
An Excellent Competitive Intelligence Database of Drug Industry ——iDdb3
Zhang Hongling
(Zhengzhou University Library, Zhengzhou 450002, China)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

iDdb3 is a very excellent competitive intelligence database of drug industry. This paper introduces the resource 、user、indexing system、retrieval method and retrieval technology of the database.

Key wordsiDdb3      Drug      Information retrieval      Retrieval method      Indexing system      Competitive intelligence     
Received: 18 February 2004      Published: 25 June 2004
ZTFLH: 

G354

 
Corresponding Authors: Zhang Hongling     E-mail: zhanghl_123@sina.com
About author:: Zhang Hongling

Cite this article:

Zhang Hongling. An Excellent Competitive Intelligence Database of Drug Industry ——iDdb3. New Technology of Library and Information Service, 2004, 20(6): 59-63.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2004.06.16     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2004/V20/I6/59

1 Elaine N.Cheeseman,IDdb3:Pharmaceutical Intelligence for the Third Millennium ONLINE 2002,26(1):44
2 http://thomsoncurrentdrugs.com/aboutus/(Accessed Jun.4,2003)
3 http://www.ncbi.nlm.nih.gov/PubMed(Accessed Dec5,2003)
4 http://www.embase.com/about(Accessed May.2,2003)
5 Thomson.Acquires.Current.Drugs.LtD. http://www.isinet.com(Accessed Sep.3,2002)
6 http://www.iddb3.com/cds/solutions.htm(Accessed Sep.3,2002)
7http://www.iddb3.com/cds/guides.htm(Accessed Sep.3,2002)
8 http://www.iddb3.com/cds/faqs.htm(Accessed Sep.3,2002)
9 http://www.currentdrugs.com/PRODUCTS/IDDB/iddbdata.htm(Accessed Sep.3,2002)
10http://www.currentdrugs.com/PRODUCTS/IDDB/iddbme2co.htm(Accessed Sep.3,2002)

[1] Huang Mingxuan,Jiang Caoqing,Lu Shoudong. Expanding Queries Based on Word Embedding and Expansion Terms[J]. 数据分析与知识发现, 2021, 5(6): 115-125.
[2] Meng Zhen,Wang Hao,Yu Wei,Deng Sanhong,Zhang Baolong. Vocal Music Classification Based on Multi-category Feature Fusion[J]. 数据分析与知识发现, 2021, 5(5): 59-70.
[3] Li Yueyan,Wang Hao,Deng Sanhong,Wang Wei. Research Trends of Information Retrieval——Case Study of SIGIR Conference Papers[J]. 数据分析与知识发现, 2021, 5(4): 13-24.
[4] Mingxuan Huang,Shoudong Lu,Hui Xu. Cross-Language Information Retrieval Based on Weighted Association Patterns and Rule Consequent Expansion[J]. 数据分析与知识发现, 2019, 3(9): 77-87.
[5] Xiaoxiao Zhu,Zunqi Yang,Jing Liu. Construction of an Adverse Drug Reaction Extraction Model Based on Bi-LSTM and CRF[J]. 数据分析与知识发现, 2019, 3(2): 90-97.
[6] Sun Haixia,Wang Lei,Wu Yingjie,Hua Weina,Li Junlian. Matching Strategies for Institution Names in Literature Database[J]. 数据分析与知识发现, 2018, 2(8): 88-97.
[7] Sun Lin,Wang Yanzhang. Identifying Competitive Intelligence Based on Knowledge Element[J]. 数据分析与知识发现, 2018, 2(6): 25-36.
[8] Wang Shuyi,Liao Huatao,Wu Chake. Mining News on Competitors with Sentiment Classification[J]. 数据分析与知识发现, 2018, 2(3): 70-78.
[9] Fan Xinyue,Cui Lei. Using Text Mining to Discover Drug Side Effects: Case Study of PubMed[J]. 数据分析与知识发现, 2018, 2(3): 79-86.
[10] Fan Xinyue,Cui Lei. Predicting Antineoplastic Drug Targets Based on Network Properties[J]. 数据分析与知识发现, 2018, 2(12): 98-108.
[11] Dun Xinhui,Zhang Yunqiu,Yang Kaixi. Fine-grained Sentiment Analysis Based on Weibo[J]. 数据分析与知识发现, 2017, 1(7): 61-72.
[12] Yang Chaofan,Deng Zhonghua,Peng Xin,Liu Bin. Review of Information Retrieval Research: Case Study of Conference Papers[J]. 数据分析与知识发现, 2017, 1(7): 35-43.
[13] Wei Xing,Hu Dehua,Yi Minhan,Zhu Qizhen,Zhu Wenjie. Extracting Disease-Gene-Drug Correlations Based on Data Cube[J]. 数据分析与知识发现, 2017, 1(10): 94-104.
[14] Zhang Xiaojuan,Han Yi. Reviews on Temporal Information Retrieval[J]. 数据分析与知识发现, 2017, 1(1): 3-15.
[15] Huang Mingxuan. Cross Language Information Retrieval Model Based on Matrix-weighted Association Patterns Mining[J]. 数据分析与知识发现, 2017, 1(1): 26-36.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn