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
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: https://hdl.handle.net/10281/381569
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