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CUBIST

CUBIST - Combining and Uniting Business Intelligence and Semantic Technologies.

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 analyzes. 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 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) to be a key element of new hybrid BI system.

CUBIST is funded as an Information and Communication Technologies Project under European Commission 7th FP. It started on 1st October 2010 and will run till September 2013. CUBIST is coordinated by SAP Research, Germany.

Contact: Marin Dimitrov.

Project objectives

The main project goal is to:

  • support federation of data from a variety of unstructured and structured sources;
  • having a BI enabled triple store as an Information Warehouse;
  • semantic information is used to improve BI best practices;
  • enables a user to perform BI operations over semantic data.

Ontotext involvement in CUBIST

Main responsibilities:

  • Semantic ETL and Data Integration from unstructured data;
  • Semantic Data Warehouse;
  • Technical Architecture;
  • Use case technical support