The discovery of experts for Multidisciplinary Research using data mining approach
Chaisiri Sanitphonklang, Nuanwan Soonthornphisaj · 2018
Multidisciplinary research is an integration of multiple knowledge from different subject areas to create new research boundary. Since the multidisciplinary research tends to solve the global challenges, this paper propose a framework that aims to create the linkage between the specialists with different area of expertise that supposes to be able to do research together. Our method creates the research profile from the set of published papers obtained from Scopus using keyword extraction and topic modeling. Then all research profiles are clustered using K-means algorithm. Finally a set of rules is deployed and executed to discover a potential group of researchers that could do multidisciplinary research. The experimental result shows that the proposed method discovers 25 researchers from 2,746 researchers who never publish the same paper but all of them have a high potential to create new multidisciplinary research project together.