Scientific exercise and fitness play an important role in promoting physical health,mental health,and overall development.In the digital intelligence era,the intelligent and precise querying of fitness and exercise knowledge has become a key aspect in expanding the supply and enhancing the quality of public exercise services.Therefore,a study was conducted to construct a knowledge graph-driven intelligent query system for fitness and exercise knowledge,utilizing the complementary strengths knowledge graphs and large language models.An integ-rated implementation approach that encompasses knowledge extraction and representation,knowledge organizat-ion and management,as well as knowledge inquiry and Q&A,was proposed.This will provide support for the development and implementation of intelligent querying in the fitness and exercise knowledge domain.
fitness and exercise knowledgeknowledge graphintelligent querylarge language model
维普
万方数据
