Design of Knowledge Templates and Multi-View Symbols for Experiential Learning

Abstract

A design of a knowledge description method based on Knowledge Templates and Multi-view Symbols for experiential learning is proposed. The proposed method is a unique approach for acquiring empirical data as knowledge and applying them to computing. For the domain of experiential learning, a knowledge model is designed based on the concept of Knowledge Templates, and a corresponding representation language is designed based on Multi-view Symbols. This allows description of both domain specific knowledge and subjective knowledge to be acquired more easily and reliably compared to using natural languages. These designs also demonstrate the application of these concepts to a specific knowledge domain. In addition, the design is evaluated by simulated visualizations of knowledge and use-case based analysis.