Browsing publication data using tag clouds over concept lattices constructed by key-phrase extraction
In order to find research on a specific topic or to get an overview of the topics that are published at different academic venues, academics need to browse data from existing academic publications. The title and abstract of publications contains useful key-phrases indicating the topic of the publication, but these need to be directly extracted and presented in a browsable format in order to allow the user to find relevant publications. We extract key-phrases and use these to construct a concept lattice for a dataset of publications. We then present the information in an intuitive interactive tag cloud browser where navigation is supported by the underlying concept lattice.