Research on the Practical Application of Visual Knowledge Graph in Technology Service Model and Intelligent Supervision

Abstract

The paper analyses the relevant elements of enterprise technical services in combination with the relevant knowledge service requirements of enterprise technology management. On this basis, based on enterprise information extraction technology, enterprise knowledge reasoning technology, machine learning technology, etc., it constructs an enterprise technology service model of knowledge graph. The model is divided into five levels: data acquisition layer, data processing layer, technology fusion layer, technology discovery layer, and technology application layer. The knowledge graph is integrated into the enterprise technology service platform to visualize the organizational form of technology management, which makes the enterprise technology service platform more relevant, and the enterprise business solutions are more intelligent and personalized. The research results obtained in the thesis promote the in-depth and universal development of the enterprise technical service model theory, and provide practical reference for improving the enterprise technical service level.