Abstract
In corporate education, it is necessary to design educational programs so that engineers can expand their expert knowledge in short period, and obtain higher activities in their behavior pattern. Each subject prepared to engineers is characterized by many keywords weighted. A fundamental index was first introduced in order to measure the characteristic proximity among subjects. The index, which is useful for the decision-making support, can be calculated in the vector space model in the information retrieval technology. We showed that there are remarkable differences between the proximity indices and correlation coefficients among subjects, and the proximity indices are more informative. From the visualized proximity indices, we can recommend systematic educational program scheme just for an engineer or a section in a corporation.
