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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yuan Junpeng Huang Jin Zhu Donghua Bao Hailong Yang Chunning |
| Copyright Year | 2006 |
| Description | Author affiliation: Sch. of Public Policy & Manage., Tsinghua Univ., Beijing (Yuan Junpeng) |
| Abstract | This paper addresses how to inform nano science and technology management by mining a particularly rich information resource - the publicly accessible databases on nano fields. Empirical bibliometrics, technology forecast, technology assessment and competitive technical intelligence are not well utilized in technology management. Three factors could enhance managerial utilization: capability to exploit huge volumes of available information, ways to do so very quickly, and informative representations that help manage emerging technologies.In this paper, a framework based on text mining techniques is proposed to discover useful intelligence from the large body of nano's electronic text sources. This intelligence is a prime requirement for successful S&T management. After that the proposed method is applied to nano technology to give an empirical study. |
| Starting Page | 2086 |
| Ending Page | 2091 |
| File Size | 955882 |
| Page Count | 6 |
| File Format | |
| ISBN | 7302139229 |
| DOI | 10.1109/CESA.2006.4281982 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-04 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | IMACS |
| Subject Keyword | Text mining Technology management Information resources Databases Bibliometrics Technology forecasting Competitive intelligence Data mining Resource management Nanotechnology |
| Content Type | Text |
| Resource Type | Article |
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