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Motta, Enrico and Osborne, Francesco
(2012).
URL: http://iswc2012.semanticweb.org/sites/default/file...
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.
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About
- Item ORO ID
- 39161
- Item Type
- Conference or Workshop Item
- Keywords
- research data; bibliographic data; data visualization; data exploration; visual analytics; scholarly semantic relations
- 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
- © 2012 Not known
- Related URLs
- Depositing User
- Francesco Osborne