Exploring research trends with Rexplore
作者： Francesco Osborne , Enrico Motta
DOI: 10.1045/SEPTEMBER2013-OSBORNE
关键词:
摘要: Current systems for exploring scholarly data exhibit a number of shortcomings in their ability to facilitate the identification research trends and identify 'interesting' connections between researchers. To address these issues we have developed Rexplore, novel system which combines statistics, human-computer interaction, semantic technologies, support knowledge-based exploration visualization data. In this paper focus on functionalities provided by Rexplore visualizing use as an example "Social Networks", has experienced dramatic growth years 2000-2010.
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core.ac.uk
sci-hub.st 参考文章(12)
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