CUBIST

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CUBIST – Combining and Uniting Business Intelligence and Semantic Technologies.

Start 2010.10.01, Finish 2013.09.30

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 with a 3 years duration. CUBIST was coordinated by SAP Research, Germany.

Contact: Marin Dimitrov

Project Objectives

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 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’s Role

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

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