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Osborne, Francesco and Motta, Enrico
(2014).
DOI: https://doi.org/10.1007/978-3-319-12024-9_13
URL: http://2014.eswc-conferences.org/sites/default/fil...
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.
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About
- Item ORO ID
- 40346
- Item Type
- Conference or Workshop Item
- Keywords
- scholarly data; visual analytics; data exploration; semantic web; ontology population; data mining; data integration
- 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
- © 2014 The Authors
- Depositing User
- Francesco Osborne