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Exploring research trends with Rexplore

Osborne, Francesco and Motta, Enrico (2013). Exploring research trends with Rexplore. D-Lib Magazine, 19(9/10)

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Current systems for exploring scholarly data exhibit a number of shortcomings in their ability to facilitate the identification of research trends and identify 'interesting' connections between researchers. To address these issues we have developed Rexplore, a novel system which combines statistics, human-computer interaction, and semantic technologies, to support knowledge-based exploration and visualization of scholarly data. In this paper we focus on the functionalities provided by Rexplore for visualizing research trends and we use as an example research in "Social Networks", which has experienced dramatic growth in the years 2000-2010.

Item Type: Journal Item
Copyright Holders: 2013 Francesco Osborne and Enrico Motta
ISSN: 1082-9873
Keywords: algorithms; performance; design; experimentation; human factors; scholarly data; bibliographic data; data visualization; data exploration; visual analytics; semantic technologies
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 39158
Depositing User: Francesco Osborne
Date Deposited: 16 Dec 2013 10:26
Last Modified: 11 Jun 2020 21:51
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