Elucidating Relationships among Research Subjects from Grant Application Data

In this study, we proposed the use of grant application data to acquire knowledge of the relationships among scientific research subjects. We modeled grant application data to construct a method of capturing the relationships among research subjects, then conducted experiments using actual grant application data. The results indicated that our method successfully elucidated the relationships among research subjects.

[1]  Satoru Kawai,et al.  An Algorithm for Drawing General Undirected Graphs , 1989, Inf. Process. Lett..

[2]  Ray J. Paul,et al.  Visualizing a Knowledge Domain's Intellectual Structure , 2001, Computer.

[3]  Ryutaro Ichise,et al.  Community mining tool using bibliography data , 2005, Ninth International Conference on Information Visualisation (IV'05).

[4]  Henry G. Small,et al.  Co-citation in the scientific literature: A new measure of the relationship between two documents , 1973, J. Am. Soc. Inf. Sci..

[5]  Weimao Ke,et al.  Studying the emerging global brain: Analyzing and visualizing the impact of co-authorship teams , 2005, Complex..

[6]  André Skupin,et al.  The world of geography: Visualizing a knowledge domain with cartographic means , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[7]  Ryutaro Ichise,et al.  Research Mining using the Relationships among Authors, Topics and Papers , 2007, 2007 11th International Conference Information Visualization (IV '07).

[8]  André Skupin,et al.  A cartographic approach to visualizing conference abstracts , 2002 .

[9]  Ryutaro Ichise,et al.  Research Community Mining with Topic Identification , 2006, Tenth International Conference on Information Visualisation (IV'06).