The CUBIST Project

Author:

Andrews Simon1

Affiliation:

1. Conceptual Structures Research Group, Sheffield Hallam University, Sheffield, UK

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.

Publisher

IGI Global

Subject

Decision Sciences (miscellaneous),Information Systems

Reference17 articles.

1. Andrews, S. (2009). In-close, a fast algorithm for computing formal concepts. In Proceedings of the ICCS 2009.

2. Andrews, S., & Dau, F. (Eds.). (2012). 2nd CUBIST Workshop at ICFCA, Leuven, Belgium. KULeuven.

3. Andrews, S., & Dau, F. (Eds.). (2013). 3rd CUBIST Workshop at ICCS, Derby, UK. CEUR-WS.

4. Andrews, S., & McLeod, K. (2011). Gene co-expression in mouse embryo tissues.

5. Andrews, S., & Orphanides, C. (2010). FcaBedrock, a formal context creator. In Proceedings of the ICCS 2010.

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