A New Way to Classify Physical Effects for Ontology Instantiation

Abstract

As one of the most important knowledge sources of TRIZ, the collection of Physical effects is currently searched in a very basic way. In order to enhance its use, different proposals have been brought to the community to classify effects into different categories. Among them, a rule-based approach classified the collection of physical effects into four categories and built a set of rules to facilitate its direct use. However, this approach is not robust enough due to the lack of instances of physical effects. In this paper, we propose a new approach to classify physical effects in order instantiate the existing ontology. In addition, preliminary results are presented to demonstrate the feasibility of the approach. The results brought us evidences that we facilitate the direct access to the collection of physical effects.

Product Improvement Using Knowledge Mining and Effect Analogy

“…Effect is a specific description of the conversion process between product input and output based on scientific principles and system attributes including physics, chemistry, biology, and geometry [9]. Effect can be used as a design tool to fully apply multidisciplinary knowledge to maximize product improvement [10].…”