CUBIST
Combining and Uniting Business Intelligence and Semantic Technologies
| Coordinatore | SAP AG
Organization address
address: DIETMAR HOPP ALLEE 16 contact info |
| Nazionalità Coordinatore | Germany [DE] |
| Totale costo | 4˙357˙196 € |
| EC contributo | 3˙029˙834 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2009-5 |
| Funding Scheme | CP |
| Anno di inizio | 2010 |
| Periodo (anno-mese-giorno) | 2010-10-01 - 2013-09-30 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
SAP AG
Organization address
address: DIETMAR HOPP ALLEE 16 contact info |
DE (WALLDORF) | coordinator | 0.00 |
| 2 |
CENTRALE RECHERCHE SA
Organization address
address: Rue Jean Goujon contact info |
FR (PARIS) | participant | 0.00 |
| 3 |
HERIOT-WATT UNIVERSITY
Organization address
address: Riccarton contact info |
UK (EDINBURGH) | participant | 0.00 |
| 4 |
INNOVANTAGE SYSTEMS LIMITED
Organization address
address: CAXTON PLACE ABACUS HOUSE contact info |
UK (CARDIFF) | participant | 0.00 |
| 5 |
ONTOTEXT AD
Organization address
address: Tsarigradsko Shosse contact info |
BG (Sofia) | participant | 0.00 |
| 6 |
SHEFFIELD HALLAM UNIVERSITY
Organization address
address: HOWARD STREET contact info |
UK (SHEFFIELD) | participant | 0.00 |
| 7 |
SPACE APPLICATIONS SERVICES NV
Organization address
address: Leuvensesteenweg contact info |
BE (ZAVENTEM) | participant | 0.00 |
Mappa
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Obiettivo del progetto (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, 'understanding data' 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.
CUBIST has three use cases in the fields of market intelligence, computational biology and control centre operations.