[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5392/IJoC.2014.10.1.029

Approach for visualizing research trends: three-dimensional visualization of documents and analysis of relative vitalization

Yea, Sang-Jun (Information Development & Management Group, Korea Institute of Oriental Medicine)
Kim, Chul (Information Development & Management Group, Korea Institute of Oriental Medicine)

Publication Information

International Journal of Contents / v.10, no.1, 2014 , pp. 29-35 More about this Journal

Abstract

This paper proposes an approach for visualizing research trends using theme maps and extra information. The proposed algorithm includes the following steps. First, text mining is used to construct a vector space of keywords. Second, correspondence analysis is employed to reduce high-dimensionality and to express relationships between documents and keywords. Third, kernel density estimation is applied in order to generate three-dimensional data that can show the concentration of the set of documents. Fourth, a cartographical concept is adapted for visualizing research trends. Finally, relative vitalization information is provided for more accurate research trend analysis. The algorithm of the proposed approach is tested using papers about Traditional Korean Medicine.

Keywords

Research Trend Visualization; Information Visualization; Vitalization Analysis; Theme Map;

Citations & Related Records

Reference

1	ASIS&T, Annual review of information science and technology 39th, Information Today, Medford NJ, 2005.
2	W. Chung, H. Chen, and J. F. Nunamaker Jr, "Business Intelligence Explorer: A Knowledge Map Framework for Discovering Business Intelligence on the Web," Proceedings of the 36th Hawaii International Conference on System Science, 2003.
3	E. C. Engelsman and A. F. J. van Raan, "A patent-based cartography of technology," Research Policy, vol. 23, 1994, pp. 1-26. DOI ScienceOn
4	P. G. Anick and S. Vaithyanathan, "Exploiting clustering and phrases for context based information retrieval," Proceedings of the ACM SIGIR Annual International Conference on Research and Development in Information Retrieval, 1997, pp. 314-323.
5	A. James, "Wise The Ecological Approach to Text Visualization," Journal of the American society for information science, vol. 50, no. 13, 1999, pp. 1224-1233. DOI
6	J. B. Kruskal and M. Wish, Multidimensional Scaling, Sage University Paper series on Quantitative Application in the Social Sciences, Sage Publications, Beverly Hills and London, 1978.
7	S. Kaski, "Data exploration using self-organizing maps," Acta Polytechnica Scandinavica, Mathematics, Computing and Management in Engineering, Series 82, 1995, p. 57.
8	C. Salton, Automatic text processing, Addison-Wesley, Reading MA, 1989.
9	Y. Y. Yang, L. Akers, T. Kose, and C. B. Yang, "Text mining and visualization tools - Impressions of emerging capabilities," World Patent Information, vol. 30, no. 4, 2008, pp. 280-293. DOI ScienceOn
10	Y. Theodorou, C. Drossosb, and P. Alevizos, "Correspondence analysis with fuzzy data: the fuzzy eigenvalue problem," Fuzzy Sets and Systems, vol. 158, 2007, pp. 704-721. DOI ScienceOn
11	Greenacre, Michael Theory and Applications of Correspondence Analysis, Academic Press, London, 1983.
12	B. Shneiderman, "The eyes have it: A task by data type taxonomy for information visualization," Proceedings of IEEE Workshop on Visual Language, 1996, pp. 336-343.
13	K. W. Boyack, B. N. Wylie, and G. S. Davidson, "Domain visualization using VxInsight for science and technology management," Journal of the American Society for Information Science and Technology, vol. 53, no. 9, 2002, pp. 764-774. DOI ScienceOn
14	Mathwork website. Available at: < http://www.mathworks.co.kr>
15	Wolfram website. Available at: http://wolfram.com
16	SoftwareFx website. Available at: < http://www.softwarefx.com>
17	Teechart website. Available at: < http://www.teechart.com>
18	R-project website. Available at: < http://www.r-project.org>
19	Dictionary publishing committee, Korean-English Dictionary of Oriental Medicine, Jimundang, 2004.
20	C. Brezinski and Z. M. Redivo, Extrapolation Methods: Theory and Practice, North-Holland, 1991.
21	C. Richard, H. Robbins, and I. Stewart, What Is Mathematics: An Elementary Approach to Ideas and Methods, Oxford University Press, New York, 1996.
22	L. Wasserman, All of Statistics: A Concise Course in Statistical Inference, Springer Texts in Statistics, 2005.
23	T. Lindeberg, "Detecting Salient Blob-Like Image Structures and Their Scales with a Scale-Space Primal Sketch: A Method for Focus-of-Attention," International Journal of Computer Vision, vol. 11, no. 3, 1993, pp. 283-318.
24	K. Beyer, J. Goldstein, R. Ramakrishnan, and U. Shaft, "When is nearest neighbor meaningful?," In Proceedings of the 7th ICDT, 1999.
25	OASIS website. Available at: < http://oasis.kiom.re.kr>
26	Korean Medical Library Engine website. Available at:
27	J. A. Wise, J. J. Thomas, K. Pennock, D. Lantrip, M. Pottier, A. Schur, and V. Crow, "Visualizing the Non-Visual: Spatial analysis and interaction with information from text documents," Proceedings of the 1995 IEEE Symposium on Information Visualization, Atlanta, Georgia, 1995, pp. 51-58.