Combining Business Intelligence with Semantic Technologies: The CUBIST Project

被引：1

作者：

Dau, Frithjof ^{[1
]}

Andrews, Simon ^{[2
]}

机构：

[1] SAP AG, Walldorf, Germany

[2] Sheffield Hallam Univ, Sheffield, South Yorkshire, England

来源：

GRAPH-BASED REPRESENTATION AND REASONING | 2014年 / 8577卷

关键词：

D O I：

10.1007/978-3-319-08389-6_23

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：281 / 286

页数：6

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