Understanding Research Dynamics

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 475)

Abstract

Rexplore leverages novel solutions in data mining, semantic technologies and visual analytics, and provides an innovative environment for exploring and making sense of scholarly data. Rexplore allows users: (1) to detect and make sense of important trends in research; (2) to identify a variety of interesting relations between researchers, beyond the standard co-authorship relations provided by most other systems; (3) to perform fine-grained expert search with respect to detailed multi-dimensional parameters; (4) to detect and characterize the dynamics of interesting communities of researchers, identified on the basis of shared research interests and scientific trajectories; (5) to analyse research performance at different levels of abstraction, including individual researchers, organizations, countries, and research communities.

Keywords

Scholarly data Visual analytics Data exploration Semantic Web Semantic technologies Ontology population Data mining Data Integration 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Knowledge Media InstituteThe Open UniversityMilton KeynesUK

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