Innovation and Application of Knowledge Graph to Improve the Efficiency of Sports Event Operation and Promotion Methods

Abstract

Abstract Sports are an important way to strengthen people's body and enrich their lives, and they are also an important symbol of social development and progress of human civilization, and the operation and development level of sports events is an important standard to measure a country's comprehensive national power and civilization. The development of sports is inseparable from the operation and promotion of sports events. The coming of the Internet era has brought about great changes in the operation and promotion of sports events, audience habits and communication patterns, bringing new development opportunities to the sports event industry. Therefore, how to make the best use of the social and economic effects of sports event brands is a major issue in the theoretical and practical circles, and it is of utmost importance to do a good job of sports event brand operation. This study examines the current strategies of sports event operation and promotion from the perspective of brand operation and provides a reference for achieving a far-reaching and lasting impact of event branding. To this end, this paper proposes an intelligent analysis of the research on sports event operations using the knowledge graph method. Knowledge graph is a kind of semantic relationship graph that can be used as the auxiliary content of sports event operation system. The knowledge graph is connected by multiple nodes and edges, which together form a large semantic relational network that describes various entities or concepts and their relationships. It can uncover deeper relationships among users, between sporting events, and between users and sporting events. Converting big data content into knowledge enhances the understanding of Internet content and can be a good way to improve the efficiency of event operation and promotion.