An Analysis and Visualization Tool for DBLP Data

作者: Michael Burch , Daniel Pompe , Daniel Weiskopf

DOI: 10.1109/IV.2015.38

关键词:

摘要: The Digital Bibliography and Library Project (DBLP) is a popular computer science bibliography website hosted at the University of Trier in Germany. It currently contains 2,722,212 publications with additional information about authors conferences, journals, or books which these are published. Although database covers majority papers published this field research, it still hard to browse vast amount textual data manually find insights correlations it, particular time-varying ones. This also problematic if someone merely interested all specific topic possible correlated scientific words may hint related papers. To close gap, we propose an interactive tool consists two separate components, namely analysis visualization. We show benefits our explain how might be used scenario where confronted task writing state-of-the art report on topic. illustrate analysis, visualization, human user supported by interaction features can work together makes typical literature search tasks faster.

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