Title :
S&T text ming and visualization applied on enterprise´s r&d:A case study
Author_Institution :
Inst. of Public Adm. & Performance Evaluation, Nanjing Audit Univ., Nanjing, China
Abstract :
Much effort has been done to develop more objective quantitative methods to analyze and integrate science and technology information for understanding research trends and research structures. Science & Technology (S&T) text mining is the application of text mining to highly detailed technical material. Co-word analysis is one class of techniques that exploits the use of co-occurrences of items in science and technology text. Bibliometrics and co-word analyses methods were applied on research literature of science and technology of Boeing Co. Its knowledge domains and structures were visualized by network tools.
Keywords :
business data processing; data mining; data visualisation; organisational aspects; research and development management; scientific information systems; text analysis; Boeing Co; S&T text mining; bibliometrics; co-word analyses methods; data visualization; enterprise R&D; research structures; research trends; science & technology text mining; science and technology information; Chemical industry; Chemical technology; Companies; Information analysis; Internet; Materials science and technology; Research and development; Technological innovation; Text mining; Visualization; Boeing Co.; science & technology text mining; visualization;
Conference_Titel :
Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3817-4
DOI :
10.1109/ICIMA.2009.5156654
