The problem is to develop a theoretically well-founded sufficiently general soft computing methods and means of knowledge mining from large and distributed amounts of data. The motivation, feedback from practise and validation of the results obtained is provided by commercial partners. We will:
systematically build a formal model of soft computing constituents applicable to modularised data, including second order metadata for querying,
implement a prototype solution in an open platform intranet environment with an user friendly multimedia front-end. We will integrate this prototype with running mainstream products and measure improvement parameters,
prepare exploitation, dissemination and complementing take-up actions.
This proposal was not succesfull.