Unified Structure and Data Driven Process for Knowledge Enrichment and Problem Solving

The KID (Knowledge-Information-Data) model is a unified structure which unifies data, information, and knowledge. It is also a data driven process in the data transformation process from data, to information, and then to knowledge. In this process, knowledge is enriched and enhanced with continuous perception of the external context and at the three stages of the data transformation. In other words, the KID model is a data driven knowledge enrichment and enhancement process for developing intelligent applications. As a generic model, there are three abstract functions within the KID model to describe three transformation stages from data to information, from information to knowledge, and from knowledge to data. They are interpretation() for interpreting data under given prior knowledge, assimilation() for assimilating information into existing knowledge, and instantiation() for generating knowledge instances. Conceptually, they can be applied to any knowledge representation and its associated cognitive framework. These three abstract functions can be explained and demonstrated by pragmatically specifying knowledge representation in a cognitive framework. This paper is focused on explaining the KID model and demonstrating how knowledge is enriched and problem solving is performed in the KID model with a classic 3-block world classic problem.