Visualization of Technical Solution by Self-Organizing Maps for Accelerating Innovation

Abstract

We propose a method for supporting inspiration of the means for solving problems through visualization of technical solution described in the patent document data. First, representative words are extracted to generate word level co-occurrence probability vectors. Then, the correlation coefficients of the generated co-occurrence probability vectors are merged into correlation coefficient vectors, and inputted to SOM. We compare the SOM drawn by co-occurrence probability vector with the SOM drawn by correlation coefficient vector. It shows the potential of the method in supporting innovation acceleration through the extraction of an important related factors in the new technology development.