Title:
Creativity Support Focusing on Context for Interdisciplinary Research Using Scientific Literatures

Speaker:
Takafumi Kawasaki (JAIST)

Abstract:
Lack of knowledge in the other research fields is the main issue that prevent researchers from doing interdisciplinary research by themselves. To overcome this issue, interdisciplinary researchers usually have to pay much of time to search for and to interpret the useful and applicable theories from the other fields. Further, the researchers need to consider the context of a theory of the other fields for using it correctly and appropriately. In this research, we propose a creativity support system that learns from scientific literature then visualizes the relationship between scientific keywords with the consideration of their context by a graph (word graph) using topic model. Our system supports searching for a useful theory by visualizing the learned topic as word graph constructed by focusing on a set of keywords and supports interpreting a theory by recommending the literature using the learned topic. From the validation experiment with some selected well-known interdisciplinary researches, we demonstrate that our system can learn valuable word graph from literature and hence can support researchers to carry out interdisciplinary research.