Abstract
Based on the systematic research in contents, methods and technology of the international S&T resources, the article established the visual monitoring & service system of international S&T resources, proposed the “three first-classes" concept of international S&T resources. For different types of international science and technology information databases, by use of scientometrics, data mining, visual technology and other methods, we have designed and built a set of effective resource monitoring framework for international S&T resources, which provided the information support for the grasp of international distribution of technology resources, searching for a high level of international cooperative partners and more effective use of international S&T resources.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Kontostathis, A., et al.: A survey of Emerging trend Detection in textual Data Mining. A Comprehensive Survey of Text Mining, ch.9. Spring-Verlag, Heidelberg (2003)
Kostoff, R.N., et al.: Literature-related discovery (LRD): methodology. Technological Forecasting and Social Change (75), 186–202 (2008)
Sun, t.: International Science and Technology Cooperation-Oriented S&T Resource Monitoring. Beijing Institue of Technology, Beijing (2010)
Taotao, S., Yun, L., Wenping, W.: Competitive Technical Intelligence Analysis Based on Patents Coupling. In: 2010 International Colloquim on Computing, Communication,Control and Management Proceedings, Yangzhou, China, pp. 102–105 (August 2010)
Taotao, S., Yun, L.: Development of Virtual Reality Technology Rearch via Patents Data Mining. In: 2010 Third International Symposium on Intelligent Uniquitous Computing and Education Proceedings, Beijing, China, September 18-19, pp. 428–431 (2010)
Meng, X., Gao, Y.: Electric systems analysis, pp. 3–21. Higher Education Press, Beijing (2004)
Small, H.: Co-citation in the scientific literature: a new measure of the relation between two documents. Journal of American Society for Information Science 24(4), 265–269 (1973)
Coates, V., Fardoque, M., Klvans, R.: On the future of technological forecasting. Technological Forecasting and Social Change 67(1), 1–17 (2001)
Chen, C.: CiteSpace II Detecting and Visualizing Emerging Trends and Transient Patterns in Scientific Literature. Journal of the American Society for Information Science and Technolog 57(3), 359–377 (2006)
Moody, J., Mcfarland, D., Demoll, S.B.: Dynamic Network Visualization 110(4),1206 –1241 (2005)
Navarro, J.G.C., Lario, N.A.: Building co-operative knowledge through an unlearning context. Management Research Review 34(5), 1–24 (2011)
Franco, M., Magrinho, A., Silva, J.R.: Competitive intelligence: A research model tested on Portuguese firms. Business Process Management 17(2), 1–27 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liu, Y., Wang, XL., Wang, WP., Ye, XT., Fan, W. (2011). Construction of the International S&T Resources Monitoring System. In: Zhiguo, G., Luo, X., Chen, J., Wang, F.L., Lei, J. (eds) Emerging Research in Web Information Systems and Mining. WISM 2011. Communications in Computer and Information Science, vol 238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24273-1_47
Download citation
DOI: https://doi.org/10.1007/978-3-642-24273-1_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24272-4
Online ISBN: 978-3-642-24273-1
eBook Packages: Computer ScienceComputer Science (R0)