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Rexplore: unveiling the dynamics of scholarly data

Osborne, Francesco and Motta, Enrico (2014). Rexplore: unveiling the dynamics of scholarly data. In: Digital Libraries 2014, 8-12 September 2014, London, UK .

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Abstract

Rexplore is a novel system that integrates semantic technologies, data mining techniques, and visual analytics to provide an innovative environment for making sense of scholarly data. Its functionalities include: i) a variety of views to make sense of important trends in research; ii) a novel semantic approach for characterising research topics; iii) a very fine-grained expert search with detailed multi-dimensional parameters; iv) an innovative graph view to relate a variety of academic entities; iv) the ability to detect and explore the main communities within a research topic; v) the ability to analyse research performance at different levels of abstraction, including individual researchers, organizations, countries, and research communities.

Item Type: Conference or Workshop Item
Copyright Holders: 2014 IEEE
Extra Information: Digital Libraries 2014 is the conjoined conference for both the ACM/IEEE Joint Conference on Digital Libraries and the Theory and Practice of Digital Libraries Conference series. The conference will bring together both communities in a single event to cover the latest research in digital libraries.
Keywords: scholarly data; visual analytics; data exploration; empirical evaluation; ontology population; data mining; data integration
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 40785
Depositing User: Francesco Osborne
Date Deposited: 04 Sep 2014 09:44
Last Modified: 25 Sep 2017 12:56
URI: http://oro.open.ac.uk/id/eprint/40785
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