Research and implementation of intelligent question answering system based on knowledge Graph of traditional Chinese medicine

Abstract

The combination of knowledge graph and natural language processing technology has become more and more widely used, and it has become one of the areas that major search engine companies attach importance to. Despite the steady progress of scientific and technological innovation and popularization of traditional Chinese medicine(TCM) knowledge, how to visualize and analyze complex TCM information in the field of TCM is still a difficult problem to solve. To this end, this research is based on the field of traditional Chinese medicine, and uses the open source data of the Compendium of "Materia Medica"on the vertical Chinese medicine website as a data source to build a knowledge graph of Chinese medicine with 9 categories of 7k knowledge entities and 7 relationships. On the basis of this knowledge graph, the functions of automatic question and answer of traditional Chinese medicine knowledge and auxiliary prescriptions have been realized. The realization of this system is of great significance and reference value in enhancing the popularization of Chinese medicine knowledge among the general public and providing decision support for clinical practice, scientific research and teaching of Chinese medicine.