A Search Interface for Researchers to Explore Affinities in a Linked Data Knowledge Base

Abstract

Research information is widely available on the Web. Both as peer-reviewed research publications or as resources shared via (micro)blogging platforms or other Social Media. Usually the platforms supporting this information exchange have an API that allows access to the structured content. This opens a new way to search and explore research information. In this paper, we present an approach that visualizes interactively an aligned knowledge base of these 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.

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Cite this paper

@inproceedings{Vocht2013ASI, title={A Search Interface for Researchers to Explore Affinities in a Linked Data Knowledge Base}, author={Laurens De Vocht and Erik Mannens and Rik Van de Walle and Selver Softic and Martin Ebner}, booktitle={International Semantic Web Conference}, year={2013} }