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

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: 18 Mar 2021 05:54
URI: https://shura.shu.ac.uk/id/eprint/8606

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