Objectives

While current ICT approaches provide methodologies and tools for association-based search and processing of information, there is currently no comprehensive ICT methodology or tool which facilitates the bisociative exploration for discovery and design tasks. The overall aim of the BISON project is to develop and validate a computational methodology, which facilitates bisociative information discovery in large-scale heterogeneous information environments.

In particular, the main objectives of the BISON project are the following:

• Objective 1: To develop a conceptual and theoretical framework for bisociative information discovery in multi-source and distributed computing environments.
• Objective 2: To design and implement a comprehensive, computational realisation of the bisociative information discovery framework. Main elements of this development include
  • (i) a meta-structure called bisociative information network,
  • (ii) novel graph-processing algorithms facilitating bisociational reasoning within such networks,
  • (iii) methods that extract and populate these networks based on heterogeneous and distributed sources, and
  • (iv) user interfaces that facilitate effective and efficient exploration of such networks.
• Objective 3: To demonstrate the validity of the BISON framework and to evaluate and assess its properties on the basis of
  • (i) a diverse set of demonstration scenarios drawn from different domains, and
  • (ii) a range of hypothetical test scenarios with known characteristics, that will be proposed in the project.

  The chosen problem scenarios will have in common that they are difficult to solve (effectiveness, efficiency) with known ICT methods.

• Objective 4: To assess whether the methodology and its proof-of-concept implementation could lead to a new ICT paradigm.
• Objective 5: To widely disseminate the results of the project, raise awareness in the relevant communities and explore ways of exploiting the project results.