Combining Business Intelligence with Semantic Technologies: The CUBIST Project

DAU, Frithjof and ANDREWS, Simon (2014). Combining Business Intelligence with Semantic Technologies: The CUBIST Project. In: HERNANDEZ, Nathalie, JÄSCHKE, Robert and CROITORU, Madalina, (eds.) Graph-Based Representation and Reasoning. Lecture Notes in Computer Science (8577). Springer, 281-286.

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Official URL: http://dx.doi.org/10.1007/978-3-319-08389-6_23
Link to published version:: https://doi.org/10.1007/978-3-319-08389-6_23
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    Abstract

    This paper describes the European Framework Seven CUBIST project, which ran from October 2010 to September 2013. The project aimed to combine the best elements of traditional BI with the newer, semantic, technologies of the Sematic Web, in the form of RDF and FCA. CUBIST’s purpose was to provide end-users with "conceptually relevant and user friendly visual analytics" to allow them to explore their data in new ways, discovering hidden meaning and solving hitherto difficult problems. To this end, three of the partners in CUBIST were use-cases: recruitment consultancy, computational biology and the space industry. Each use-case provided their own requirements and evaluated how well the CUBIST outcomes addressed them.

    Item Type: Book Section
    Additional Information: 21st International Conference on Conceptual Structures, ICCS 2014 Iași, Romania, July 27-30
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
    Identification Number: https://doi.org/10.1007/978-3-319-08389-6_23
    Page Range: 281-286
    Depositing User: Helen Garner
    Date Deposited: 29 Oct 2014 10:41
    Last Modified: 28 Mar 2019 16:17
    URI: http://shura.shu.ac.uk/id/eprint/8606

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