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.

Motta, E., & Osborne, F. (2012). Making sense of research with Rexplore. In ISWC 2012 Posters and Demonstrations Track, ISWC-PD 2012 (pp.49-52).

Making sense of research with Rexplore

Osborne F
2012

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.
Si
poster
Scientifica
Bibliographic data; Data exploration; Data visualization; Research data; Scholarly semantic relations; Visual analytics;
English
ISWC 2012 Posters and Demonstrations Track, ISWC-PD 2012 - 11 November 2012 through 15 November 2012
Motta, E., & Osborne, F. (2012). Making sense of research with Rexplore. In ISWC 2012 Posters and Demonstrations Track, ISWC-PD 2012 (pp.49-52).
Motta, E; Osborne, F
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/381569
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