The project aims to develop a knowledge graph-based intelligent Q&A system to provide key technology for human-machine intelligent interaction platform in the Olympic WinterGames. Currently, the knowledge for the Olympic WinterGames are fragmented, simplified in display, and less-intelligent. In order to tackle these problems, the project will build large-scale knowledge graphs covering the events, athletes, competitions, teams, etc. It will set up a website to display the three-dimensional and related knowledge and provide types of display such as knowledge browsing, text query, structured query and panoramic interaction. Last, an intelligent Q&A system will be developed providing real time answers to the questions raised by texts or voices. The system is equipped with a precision question analysis engine based on the independently-developed and internationally-advanced deep learning semantic analysis model.