Title :
A Text Mining Framework to Support Nano Science and Technology Management
Author :
Junpeng, Yuan ; Jin, Huang ; Donghua, Zhu ; Hailong, Bao ; Chunning, Yang
Author_Institution :
Sch. of Public Policy & Manage., Tsinghua Univ., Beijing
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.
Keywords :
data mining; nanotechnology; scientific information systems; technology management; electronic text sources; empirical bibliometrics; information resource; nanoscience management; technology forecast; technology management; text mining framework; Bibliometrics; Competitive intelligence; Data mining; Databases; Information resources; Nanotechnology; Resource management; Technology forecasting; Technology management; Text mining;
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
DOI :
10.1109/CESA.2006.4281982