A client-server computing model for heterogeneous distributed knowledge management

An architecture for heterogeneous distributed knowledge management is presented. This architecture is based on a blackboard architecture and built around three different kinds of processes: procedural, exampler, and heuristic. Each process contributes a partial solution derived from the task assigned to it in the general flow diagram and interacts with other processes through a client-server computing model. The procedural processes are used for handling procedural preprocessing operations. The exampler processes are used in the form of connectionist models to recognize different patterns resulting from the preprocessing phase. The heuristic processes are implemented in the form of production rules to configure the chosen connectionist models based on some previously extracted features.<
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