Action Science Explorer: Interactive Data Visualization for Rapid Understanding of Scientific Literature

Cody Dunne
Ph.D. student in Computer Science, University of Maryland

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We developed Action Science Explorer (ASE), a tool designed to support users in rapidly generating easily consumable summaries of academic literature. ASE uses bibliometric lexical link mining to create a citation network for a field and context for each citation, automatic clustering and multi-document summarization techniques to extract key points, and potent network analysis and visualization tools to aid in the exploration task. These techniques provide several coordinated views of the underlying data.