Question Answering system based on Knowledge Graph of Film Culture

摘要

The research and development of intelligent question answering system in today's society is more and more fierce, and it has more and more extensive application prospects. Different from the traditional question answering system which is more biased towards document retrieval, the question answering system based on knowledge graph can accurately identify the user's intention and give accurate answers. This article builds an intelligent Chinese question and answering system for the field of film culture, which can help users quickly and accurately query related issues in film culture. First of all, the knowledge graph of film culture is constructed, and Neo4j graph database is used to store data. Next, the naive Bayes model is used to classify user’s problems. Finally, according to the user's intention and keywords, the questions are converted into knowledge graph query statements and the answers are returned after the database query.