Towards Identifying Potential Research Collaborations from Scientific Research Networks using Scholarly Data

Abstract

Identifying research areas of researchers is a difficult task because of the various levels of abstraction in which information may be stored; however, such a task is essential for detecting potential research collaborations within an institution. This work describes an approach to create a scientific research network with topics identified from the researchers' scholarly data and relations between topics by analyzing data harvested from digital libraries and queries to domain ontologies. The relations are used to connect the researchers. Such networks have the potential for revealing the synergy between different topics and researchers within an institution. It will also show less explored research areas that can be targeted for further study. The poster will describe the approach and how it was applied to a biomedical domain at the university.