Exploring research trends with Rexplore

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

DOI: https://doi.org/10.1045/september2013-osborne

Abstract

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.

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About

• Item ORO ID
• 39158
• Item Type
• Journal Item
• ISSN
• 1082-9873
• Keywords
• algorithms; performance; design; experimentation; human factors; scholarly data; bibliographic data; data visualization; data exploration; visual analytics; semantic technologies
• Academic Unit or 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)
• Copyright Holders
• © 2013 Francesco Osborne and Enrico Motta
• Depositing User
• Francesco Osborne