Motta, Enrico and Osborne, Francesco
(2012).
|
PDF (Accepted Manuscript)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (137kB) | Preview |
| URL: | http://iswc2012.semanticweb.org/sites/default/file... |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
While there are many tools and services which support the exploration of research data, by and large these tend to provide a limited set of functionalities, which cover primarily ranking measures and simple mechanisms for relating authors. To try and improve over the current state of affairs, we are developing a novel tool for exploring research data, which is called Rexplore. Rexplore builds on an intelligent algorithm for automatically identifying hierarchical and equivalence relations between research areas, to provide a variety of functionalities and visualizations to help users to make sense of research data. These include visualizations to detect trends in research; ways to cluster authors according to several dynamic similarity measures; and fine-grained mechanisms for ranking authors, taking into account parameters such as ranking criterion, career stage, calendar years, publication venues, etc.
| Item Type: | Conference or Workshop Item |
|---|---|
| Copyright Holders: | 2012 Not known |
| Keywords: | research data; bibliographic data; data visualization; data exploration; visual analytics; scholarly semantic relations |
| 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) |
| Related URLs: | |
| Item ID: | 39161 |
| Depositing User: | Francesco Osborne |
| Date Deposited: | 16 Dec 2013 09:50 |
| Last Modified: | 18 Nov 2016 19:31 |
| URI: | http://oro.open.ac.uk/id/eprint/39161 |
| Share this page: |     |
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.
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)