Research on the model of knowledge representation ontology based on framework in intelligent learning system

The knowledge representation is the symbolization process of knowledge. In nature, knowledge representation adopts a technology model to map the knowledge required to solute problems into data structures to find a solution to these problems. The process of knowledge representation transforms the relevant knowledge into data structures. The goal of knowledge mapping in an intelligent learning system is to realize the machine resolution to complex intelligent questions. However, it is extremely difficult for machines to resolve these questions directly. An ontology model of framework representation for knowledge is proposed based on ontology and framework technology. The result shows the proposed model provides a novel and easy method to represent knowledge in intelligent learning systems.