Human-interactive annealing process with pictogram for extracting new scenarios for patent technology

Abstract

It is only observable part of the real world that can be stored in data. Latent structure behind observation often plays an important role in the dynamics of visible events. Such latent structure is composed of unobservable events. Data crystallizing aims at presenting the latent structure among events including unobservable events. Human-interactive annealing is developed to understand unobservable events by tuning the granularity level of structure to be visualized after data crystallization. This paper presents application of the data crystallization and human-interactive annealing for extracting new scenarios of product design from latent technology structure behind current patented technology. The results show its effect to industrial decision making. © 2008 Springer-Verlag Berlin Heidelberg.