ResXplorer: interactive search for relationships in research repositories
Research information is widely available on the Web. Peerreviewed research publications as well related meta data from bibliography archives offers a vast of information to investigate about related publications, events and persons for a researcher. Usually the platforms supporting this information exchange have an API that allows access to the structured content or the information is already present as Linked Data. This opens a new way to search and explore research information. With the user interface of “ResXplorer” we help researchers to get an overview by using an approach that visualizes interactively search process in an aligned linked data knowledge base of research related resources. We show that visualizing resources, such as conferences, publications and proceedings, expose affinities between researchers and those resources. We characterize each affinity, between researchers and resources, by the amount of shared interests and other commonalities.