论文信息 - Knowledge representation for composited knowledge bases

Knowledge representation for composited knowledge bases

In this paper the problem of effective and proper knowledge representation methods is considered. The more data in given knowledge base the more difficult to store and analyse them. The most popular method of representation knowledge in decision support system is the rule’s based method. We think that such techniques as decision units and cluster analysis could let for modularity the given knowledge base and help with managing such sources. In result of our research we saw that both method are very similar and they help to optimize the inference processes in such systems.

Alicja Wakulicz-Deja | Agnieszka Nowak

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