The Research and Construction of Practical Case Library of Database Based on Knowledge Graph

Abstract

Using database technology and AI, it is of great significance to explore the database case for data processing and analysis of the digital transformation platform based on Knowledge graphe. Knowledge graph includes knowledge engineering, natural language processing, database, machine learning. With the development of university-enterprise cooperation in china, high-quality resources in the computer industry will be introduced into the practice of database courses, so as to create new database practice case library with new engineering characteristics. Colleges and universities have realized the training goal of talent technology under the background of new engineering by building a hierarchical database oriented talent training mode. Knowledge graph is used to process massive multi-dimensional data, which can be considered as a semantic network. The knowledge graph processing steps involve knowledge representation, knowledge acquisition, knowledge fusion, knowledge calculation and knowledge reasoning. The knowledge graph includes the processing and calculation of database data. Then, the construction of the case of the database can use the knowledge graph technology. The construction and reform of the database practice case for the new engineering and engineering education accreditation, and the strengthening of both theory and practice, have an obvious role and significance in improving the quality of talent training in the computer direction, promoting practical teaching and improving teaching quality. Based on the innovative mode of university-enterprise cooperation, this paper explores the path and direction of the construction of the case library for practical of database using knowledge graph.