Project Description

 

Acknowledgements

We would like to express our gratitude to NSF Digital Library Initiative-2, "High-performance Digital Library Systems:  From Information Retrieval to Knowledge Management,"  IIS-9817473, April 1999-March 2002

Approach & Methodology

Testbed: US Patent and Trademark Office (USPTO) data searched by keywords of the entire text: title, abstract, claims, and specifications. 122,778 grant awards in all science and engineering fields accessed at http://www.nsf.gov/awardsearch/index.jsp Techniques: Basic analysis on the key indicators of technology development performance Linkage analysis between grant and patent data set Content map analysis Using Arizona Noun Phraser-indexing and Kohonen self-organization map (SOM) algorithm to compare and associate the main topic areas. For example, Figures 1 present NSE grant content maps from 1991 to 1995. It shows that from 1991 to 1995, NSF-funded grants were concentrated in several technology topics including “microscope,” “quantum dots/effects,” “spectroscope,” and “Chemical Vapor Depositions.” Figure 1. NSE grant content map (1991-1995) Longitudinal content map analysis visualizes the change of topic areas in terms of time periods. Figure 2 displays many new grant topics (shown as red regions) during 1996-2000, for instance, “organic molecules,” “molecular dynamics.” The major topic areas of “Composite Materials” and “Force Microscopes” (shown as orange regions) continue with a higher growth rate than the base rate. The topic areas “Nanostructured Materials” and “Quantum Dots” (shown as green regions) had the base growth rate. Other topic areas, including “Electron Microscope,” “Probe Microscopes,” and “Molecular Structure” (shown as blue and white regions), had a lower growth rate than the base growth rate. Figure 2. NSE grant content map (1996-2000) Available content map links are: Grant http://ai20.bpa.arizona.edu/~patent/patent_grant9195.html http://ai20.bpa.arizona.edu/~patent/patent_grant9600.html http://ai20.bpa.arizona.edu/~patent/patent_grant0102.html Patent: http://ai20.bpa.arizona.edu/~patent/patent_3.html http://ai20.bpa.arizona.edu/~patent/patent_4.html http://ai20.bpa.arizona.edu/~patent/patent_5.html   Citation network analysis Graphviz, an open source graph drawing software, provided by AT&T Labs (Gansner and North, 2000) (available at: http://www.research.att.com/sw/tools/graphviz/). For instance, the country citation network between 1976 and 2002 is shown in Figure 2 (with the citation count threshold of 10). Figure 3. Country Citation Network: 1976 – 2002 (Citation counts > 10) NetDraw, a free network drawing program by Steve Borgatti (available at: http://www.analytictech.com/downloadnd.htm) Figure 11 shows the citation network for the largest NSE field “Chemistry: molecular biology and microbiology.” Figure 3. Patent citation network: “Chemistry: molecular biology and microbiology” Statistical Hypothesis Testing

Team Members

Dr. Hsinchun Chen hchen@eller.arizona.edu    Zan Huang zhuang@eller.arizona.edu    Lijun Yan lijunyan@cs.arizona.edu

Publications

Z. Huang, H. Chen, Z.-K. Chen and M. C. Roco, "International Nanotechnology Development in 2003: Country, Institution, and Technology Field Analysis Based on USPTO Patent Database," Journal of Nanoparticale Research (JNR), 6(4), 325-354, (2004). Z. Huang, H. Chen, A. Yip, G. Ng, F. Guo, Z.-K. Chen and M. C. Roco, “Longitudinal Patent Analysis for Nanoscale Science and Engineering: Country, Institution and Technology Field,” Journal of Nanoparticale Research (JNR), 5, 333-363, (2003).