Making sense of research with Rexplore

Motta, Enrico and Osborne, Francesco (2012). Making sense of research with Rexplore. In: International Semantic Web Conference (ISWC 2012), 11-15 Nov 2012, Boston, USA.

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.

Viewing alternatives

Item Actions

Export

You can export this page using these formats