The Open UniversitySkip to content
 

Exploring research trends with Rexplore

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

Full text available as:
[img]
Preview
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (226kB) | Preview
DOI (Digital Object Identifier) Link: https://doi.org/10.1045/september2013-osborne
Google Scholar: Look up in Google Scholar

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.

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)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 39158
Depositing User: Francesco Osborne
Date Deposited: 16 Dec 2013 10:26
Last Modified: 25 Nov 2016 21:45
URI: http://oro.open.ac.uk/id/eprint/39158
Share this page:

Altmetrics

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk