DocumentCode :
168376
Title :
Rexplore: Unveiling the dynamics of scholarly data
Author :
Osborne, Francesco ; Motta, Enrico
Author_Institution :
Knowledge Media Inst., Open Univ., Milton Keynes, UK
fYear :
2014
fDate :
8-12 Sept. 2014
Firstpage :
415
Lastpage :
416
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.
Keywords :
data analysis; data mining; data visualisation; graph theory; semantic Web; Rexplore; abstraction levels; academic entities; data mining techniques; innovative graph view; multidimensional parameters; research topics; scholarly data; semantic technologies; visual analytics; Communities; Data mining; Data visualization; Market research; Ontologies; Organizations; Semantics; Data Exploration; Data Integration; Data Mining; Empirical Evaluation; Ontology Population; Scholarly Data; Visual Analytics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Libraries (JCDL), 2014 IEEE/ACM Joint Conference on
Conference_Location :
London
Type :
conf
DOI :
10.1109/JCDL.2014.6970202
Filename :
6970202
Link To Document :
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