The CUBIST Project: Combining and Uniting Business Intelligence with Semantic Technologies

ANDREWS, Simon (2013). The CUBIST Project: Combining and Uniting Business Intelligence with Semantic Technologies. International journal of intelligent information technologies, 9 (4), 1-15.

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Abstract

As a preface to this Special 'CUBIST' Edition of the International Journal of Intelligent Information Technologies IJIIT, this article describes the European Framework Seven Combining and Unifying Business Intelligence with Semantic Technologies 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 the Resource Description Framework RDF, and Formal Concept Analysis 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 problems that were finally addressed by the prototype CUBIST visual-analytics developed in the project.

Item Type:	Article
Uncontrolled Keywords:	Business Intelligence, CUBIST Project, Formal Concept Analysis FCA, Gene Expression, Recruitment Consultancy, Resource Description Framework RDF, Satellite Telemetry, Semantic Technology, Semantic Web
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/10.4018/ijiit.2013100101
Page Range:	1-15
Depositing User:	Helen Garner
Date Deposited:	28 Oct 2014 15:20
Last Modified:	18 Mar 2021 04:22
URI:	https://shura.shu.ac.uk/id/eprint/8602

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