• 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