抄録
At first, we introduce Frame Oriented Theory, and explain the basic concept of the theory. We can classify a certain thing or concept into the constructing attributes (items) in general, it can be represented by the matrix whose values on each item is 1 (if the thing reside on the item) and 0 (if it doesn't reside the item). Then the matrix represented in this, way is regarded as a kind of image patterns meaning of the thing or concept. Thus the original matrix consisted of only the items is called by "Frame". Next, we describe the vectors derived from a certain Frame, giving some examples to help easier understanding. Then, we show an application of the theory to the processing for the sentences on medical diagnosis, and show some interesting results of the experiment. This research has just been started, then it remains a lot of thing unstudied. Furthermore the theory is applicable to other scientific fields besides this kind of medical ones.
