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Project: Artificial intelligence and groupware technology for efficient agglomeration of hybrid data.

01-JAN-99 – 31-OCT-01

It is the aim to use insights concerning group-based annotation techniques for the optimisation of the agglomeration of biological data. This agglomeration-process will be performed on the basis of AI-based classification techniques (neural networks, inductive machine learning and decision trees) combined with Group-Ware- and annotation technology. The algorithmic techniques are thus completed with a knowledge based foundation that is determined with the aid of a multi-user, interactive Group-Ware- and annotation-system.