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A Text Mining Framework to Support Nano Science and Technology Management

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5 Author(s)
Yuan JunPeng ; School of Public Policy & Management, Tsinghua University, P.R.China, 100084. ; Huang Jin ; Zhu Donghua ; Bao Hailong
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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.

Published in:

Computational Engineering in Systems Applications, IMACS Multiconference on

Date of Conference:

Oct. 2006