A MULTIDIMENSIONAL KNOWLEDGE STRUCTURE

Expert system has gone through several shifts in view, from search-bas ed to knowledge-based problem solving and from knowledge transfer to k nowledge modeling. However, knowledge is still mostly treated informal ly. There are widely different opinions on its nature. This paper firs t attempts to characterize knowledge contents within the context of kn owledge level and then proposes a knowledge structure. Four characteri stics of knowledge, namely particularity, specificity, bipolarity, and orthogonality, are identified. They form the components of a multidim ensional knowledge structure that constitutes a static spatial organiz ation of knowledge. These components are related together through mult iple levels of derails and multiple system views. The proposed structu re creates a taxonomy for classifying knowledge. It brings chaos to or der by giving meanings to the phenomenon of diverse opinions on knowle dge.