A trade-off exists between the management of research information based on personal viewpoints and the sharing of it on a large scale. To resolve this, we have developed methods for managing research information. First, we propose use of a transition graph to visually express research information and the relationships among the information. Second, we describe a method that enables knowledge sharing on a large scale by converting research information expressed with a transition graph into a common view with specified constraints on their redrawing. Third, we discuss a research support system that applies the proposed methods. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Miyadera, Y., Hayashi, N., Nakamura, S., & Yokoyama, S. (2005). A visualization system for organizing and sharing research information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 1288–1295). Springer Verlag. https://doi.org/10.1007/11553939_179
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