Research on Knowledge Graph Question Answering System in Computer Text Field

Question answering system can quickly and accurately obtain the required information from massive data. At the same time, the knowledge map is constantly rising, and more and more knowledge is stored in it. Knowledge map has become an important source of answers in question-and-answer system, and has been widely concerned by people in the industry. With the explosive growth of Internet information, it is difficult for traditional search engines to meet the needs of users for accurate information retrieval. This paper focuses on the question answering system based on knowledge map. The question answering system classifies questions semantically, which can return the corresponding answers more accurately and intuitively. However, most question answering systems are based on rules, which have poor flexibility and require more manual intervention. In order to improve the shortcomings of the above question answering system, this paper designs and implements a multi-round question answering system based on the knowledge map of computer literature field. The purpose of this paper is to provide a user-friendly question and answer system to help scholars in the field master computer-related information and facilitate computer-aided teaching.