Abstract
The combination of knowledge map and knowledge card enables users to not only read the text to obtain detailed explanation, but also perceive the relevance between knowledge ontology through visual graphics. The text and graphics complement each other and cooperate properly. This intelligent question answering system is to sort out the disordered user corpus information scientifically and orderly, process and extract the natural language keyword information through CRF word segmentation technology, and obtain the final answer to the user based on the basic principle of knowledge map. As the auxiliary recommendation information of drug use, knowledge map and attribute list are presented at the same time.
