Motta, Enrico and Osborne, Francesco
(2012).
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| URL: | http://iswc2012.semanticweb.org/sites/default/file... |
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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 |
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| 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) |
| Research Group: | Centre for Research in Computing (CRC) |
| Related URLs: | |
| Item ID: | 39161 |
| Depositing User: | Francesco Osborne |
| Date Deposited: | 16 Dec 2013 09:50 |
| Last Modified: | 15 Dec 2018 09:45 |
| URI: | http://oro.open.ac.uk/id/eprint/39161 |
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