SKIMMR: Machine-Aided Skim-Reading
Refereed Conference Meeting Proceeding
Unlike full reading, ’skim-reading’ involves the process of looking quickly over information in an attempt to cover more material whilst still being able to retain a superficial view of the underlying content. Within this work, we specifically emulate this natural human activity by providing a dynamic graph-based view of entities automatically extracted from text using superficial text parsing / processing techniques. We provide a preliminary web-based tool (called ‘SKIMMR’) that generates a network of inter-related concepts from a set of documents. In SKIMMR, a user may browse the network to investigate the lexically-driven information space extracted from the documents. When a particular area of that space looks interesting to a user, the tool can then display the documents that are most relevant to the displayed concepts. We present this as a simple, viable methodology for browsing a document collection (such as a collection scientific research articles) in an attempt to limit the information overload of examining that document collection. This paper presents a motivation and overview of the approach, outlines technical details of the preliminary SKIMMR implementation, describes the tool from the user’s perspective and summarises the related work.
Intelligent User Interfaces
Digital Object Identifer (DOI):
United States of America
National University of Ireland, Galway (NUIG)
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