Research on the Application of Knowledge Graph in Teaching-Taking “Edge Computing and Intelligent Vision Application” Course as an Example

In the process of digital transformation of higher education teaching, knowledge graph technology is applied to the construction and reform of curriculum teaching. This paper analyzes the current situation and problems of online and offline blended courses, expounds the advantages of course construction based on knowledge graph technology, and applies knowledge graph technology to the course construction and reform of Edge Computing and Intelligent Vision Application. The curriculum knowledge graph optimizes the course content, integrates high-quality educational resources, reforms the students' learning as the center, meets the needs of students' personalized learning, cultivates students' thinking and ability, builds a diversified evaluation system, and promotes the improvement of teachers' teaching ability.

I. Introduction

This Knowledge graph is a kind of technical method that uses graph models to describe knowledge and model the associations and relationships between all things in the world, is a semantic network, and is a structured and formal description framework of semantic knowledge, which uses nodes to represent semantic symbols and edges to represent semantic relationships. The three components of a knowledge graph include: entities, relationships, and attributes. Entities refer to things that exist objectively and can be distinguished from each other, which can be specific people, things, things, or abstract concepts or connections. Edges represent relationships in the knowledge graph and are used to represent some kind of connection between different entities. Both entities and relationships in a knowledge graph can have their own attributes.