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CUBIST

Project reference: 257403
Funded under: FP7-ICT

Combining and Uniting Business Intelligence and Semantic Technologies [Print to PDF] [Print to RTF]

From 2010-10-01 to 2013-09-30

Project details

Total cost:

EUR 4 357 196

EU contribution:

EUR 3 029 834

Coordinated in:

Germany

Call for proposal:

FP7-ICT-2009-5

Funding scheme:

CP - Collaborative project (generic)

CUBIST - Your Business Intelligence

The constantly growing amounts of data and an emerging trend of incorporating unstructured data into analytics is bringing new challenges to Business Intelligence (BI). Contemporary BI solutions fall short in the following aspects:

Firstly, they focus only on structured data and disregard the increasing amount of information hidden in unstructured data.

Secondly, BI users are dealing with increasingly complex analyses, but the complexity of BI tools becomes the
biggest barrier for their success.

CUBIST is an EU funded research project with a visionary approach that leverages BI to a new level of precise, meaningful and user-friendly analytics of data by  following a best-of-breed approach that combines essential features of Semantic Technologies, Business Intelligence and Visual Analytics. CUBIST aims to
• support federation of data from unstructured and structured  sources
• persist the federated data in an Information Warehouse; an approach based on a BI enabled triple store
• provide novel ways of applying Visual Analytics based on meaningful diagrammatic representations.

Objective

Constantly growing amounts of data, complicated and rapidly changing economic interactions, and an emerging trend of incorporating unstructured data into analytics, brings new challenges to Business Intelligence (BI). Contemporary solutions involve BI users dealing with increasingly complex analyses. According to a 2008 study, the complexity of BI tools is the biggest barrier for success of these systems. Moreover, classical BI solutions have, so far, neglected the meaning of data.Semantic Technologies (STs), deal with this meaning and are capable of dealing with both unstructured and structured data. Having the meaning of data in place, a user can be guided during his work with data. In particular, we foresee FCA (Formal Concept Analysis), which is a well known ST, to be a key element of new hybrid BI system. However, STs have, traditionally, operated on data sets a magnitude smaller than classical BI solutions. They also lack standard BI functionalities such as Online Analytical Processing queries, making it difficult to perform analysis over semantic data. On the other hand, &apos;understanding data&apos; will improve classical methods in BI-CUBIST combines essential features of ST and BI. We envision a system with the following core features:* It supports federation of data from a variety of unstructured and structured sources,* The persistency layer is an Information Warehouse; having a BI enabled triple store in its center,* Semantic information is used to improve BI best practices,* CUBIST enables a user to perform BI operations over semantic data,* Semantic data warehouse is used to realize advance mining techniques known from, in particular FCA.* Novel ways of applying visual analytics in which meaningful diagrammatic representations of the data will be used for representing, navigating through and visually querying the data.<br/>CUBIST has three use cases in the fields of market intelligence, computational biology and control centre operations.

Related information

Coordinator

SAP AG
Germany
DIETMAR HOPP ALLEE 16
WALLDORF, Germany
Administrative contact: Frank Gottfried
Tel.: +49 6227 7 46998
Fax: +49 6227 78 22166
E-mail

Participants

SPACE APPLICATIONS SERVICES NV
Belgium
Leuvensesteenweg
ZAVENTEM, Belgium
Administrative contact: Jan Depauw
Tel.: +32 2 7215484
Fax: +32 2 7215444
E-mail
ONTOTEXT AD
Bulgaria
Tsarigradsko Shosse
Sofia, Bulgaria
Administrative contact: Silvia Karagova
Tel.: +35929746160
Fax: +35929753226
E-mail
CENTRALE RECHERCHE SA
France
Rue Jean Goujon
PARIS, France
Administrative contact: Philippe DUBEAUX
Tel.: +33 1 41131173
Fax: +33 1 41131418
E-mail
HERIOT-WATT UNIVERSITY
United Kingdom
Riccarton
EDINBURGH, United Kingdom
Administrative contact: Eva Olszewska-Day
Tel.: +44 131 4513073
Fax: +44 131 4513193
E-mail
INNOVANTAGE SYSTEMS LIMITED
United Kingdom
CAXTON PLACE ABACUS HOUSE
CARDIFF, United Kingdom
Administrative contact: Matthew James Dewstowe
Tel.: +44 2920 022 601
Fax: +44 2920 022 601
E-mail
SHEFFIELD HALLAM UNIVERSITY
United Kingdom
HOWARD STREET
SHEFFIELD, United Kingdom
Administrative contact: Simon Polovina
Tel.: +44 114 2256825
Fax: +44 114 2256931
E-mail
Record Number: 95904 / Last updated on: 2014-11-10